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💡 List of recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM).
🤗 We welcome and encourage researchers to submit pull requests to update information in their papers!
📫 Repo under active development. Collaborations welcome on Framework & Survey. Contact: [email protected].

📕 Overview

📌 Accepted papers

🗓️ 2026 papers

🗓️ 2025 papers

🗓️ 2024 papers

🗃️ Evaluation Datasets

📢 Latest News

• [26.04]: Our CoCoA accepted at ACL2026 Main! 🎉 [Paper][Code]
• [26.1]: Our ArcAligner released — designed for long memory!🚀 [Code]
• [26.1]: Our OptiSet released — unified selection and ranking!🚀 [Code]
• [25.10]: Updated the recent papers from September and October!📅
• [25.10]: Our QAgent released — an agentic RAG framework!🚀 [Code]
• [25.08]: Our CoCoA released — studying knowledge synergy!🚀 [Code]
• [25.06]: We built AgenticRAG-RL — a minimal RL-RAG! Feel free to contribute!🤝
• [25.05]: Our GainRAG released — studying preference alignment!🚀 [Code]
• [25.05]: Our GainRAG accepted at ACL2025 Main! 🎉 [Paper][Code]
• [25.01-05]: Updated the papers from 2025! 📄
• [24.10]: We built MU-GOT — a PDF parsing tool! Feel free to contribute!🤝
• [24.06-12]: Updated the papers from 2024! 📄

🎁 Resources

💡Survey

• [2025.05] A Survey on Knowledge-Oriented Retrieval-Augmented Generation [Link]
• [2025.01] Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG [Link]
• [2024.09] Trustworthiness in Retrieval-Augmented Generation Systems: A Survey [Link]
• [2024.09] Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely [Link]
• [2024.07] Retrieval-Augmented Generation for Natural Language Processing: A Survey [Link]
• [2024.05] A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models [Link]
• [2024.02] Retrieval-Augmented Generation for AI-Generated Content: A Survey [Link]
• [2023.12] Retrieval-Augmented Generation for Large Language Models: A Survey [Link]

💡Project

• LightRAG
• RAGFlow
• RAG-Anything
• Awesome-LLM-RAG

🔥Latest Papers

🔥2026 May

• EmbedGuard: Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems [IJCESEN] [Code]
  • Defends against adversarial embeddings injected into the retrieval corpus to manipulate downstream LLM behavior. Operates across embedding, retrieval, and generation layers with cryptographic provenance attestation.

🔥2026 March

• Mar 30 PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
• Mar 30 Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
• Mar 27 Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving Retrieval-Augmented Generation
• Mar 27 Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
• Mar 26 Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
• March 26 UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
• Mar 26 GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
• Mar 25 Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
• Mar 25 CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction
• Mar 24 From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
• Mar 23 CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
• Mar 21 Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces
• Mar 19 GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
• Mar 19 BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
• Mar 19 DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
• Mar 18 PACE-RAG: Patient-Aware Contextual and Evidence-based Policy RAG for Clinical Drug Recommendation
• Mar 18 SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
• Mar 17 Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
• Mar 17 IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
• Mar 16 Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention
• Mar 14 The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA
• Mar 12 Test-Time Strategies for More Efficient and Accurate Agentic RAG
• Mar 11 RAGPerf: An End-to-End Benchmarking Framework for Retrieval-Augmented Generation Systems
• Mar 10 TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
• Mar 9 SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
• Mar 8 KohakuRAG: A simple RAG framework with hierarchical document indexing
• Mar 7 Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
• Mar 6 LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation
• Mar 5 Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
• Mar 5 MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus
• Mar 5 S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
• Mar 3 RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
• Mar 2 URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
• Mar 2 GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
• Mar 1 Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models

🔥2026 February

• Feb 28 From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
• Feb 26 TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
• Feb 26 Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
• Feb 25 Revisiting RAG Retrievers: An Information Theoretic Benchmark
• Feb 24 HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
• Feb 24 RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
• Feb 24 DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
• Feb 23 How Retrieved Context Shapes Internal Representations in RAG
• Feb 23 Controllable Evidence Selection in Retrieval-Augmented Question Answering via Deterministic Utility Gating
• Feb 22 AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
• Feb 21 Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
• Feb 20 GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning
• Feb 19 NTLRAG: Narrative Topic Labels derived with Retrieval Augmented Generation
• Feb 19 NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom
• Feb 17 Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
• Feb 16 AIC CTU@AVerImaTeC: dual-retriever RAG for image-text fact checking
• Feb 16 HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation
• Feb 16 Differentially Private Retrieval-Augmented Generation
• Feb 14 Evaluating Prompt Engineering Techniques for RAG in Small Language Models: A Multi-Hop QA Approach
• Feb 13 LIR^3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation
• Feb 11 MultiCube-RAG for Multi-hop Question Answering
• Feb 11 AudioRAG: A Challenging Benchmark for Audio Reasoning and Information Retrieval
• Feb 10 MLDocRAG: Multimodal Long-Context Document Retrieval Augmented Generation
• Feb 10 Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
• Feb 10 Evaluating Social Bias in RAG Systems: When External Context Helps and Reasoning Hurts
• Feb 9 DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
• Feb 9 SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains
• Feb 8 HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
• Feb 7 IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memor
• Feb 7 Progressive Searching for Retrieval in RAG
• Feb 7 Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys
• Feb 6 SE-Search: Self-Evolving Search Agent via Memory and Dense Reward
• Feb 5 CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
• Feb 5 Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration
• Feb 5 When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
• Feb 4HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
• Feb 4 Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation
• Feb 4 Atomic Information Flow: A Network Flow Model for Tool Attributions in RAG Systems
• Feb 3 LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals
• Feb 3 Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation
• Feb 3 Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG
• Feb 3 Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
• Feb 3 A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
• Feb 3 Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
• Feb 2 Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation
• Feb 2 CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
• Feb 2 P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA

🔥2026 January

• Jan 30 Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols
• Jan 30 DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
• Jan 30 RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing
• Jan 29 ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
• Jan 29 EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation
• Jan 27 LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
• Jan 27 RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
• Jan 24 Less is More for RAG: Information Gain Pruning for Generator-Aligned Reranking and Evidence Selection
• Jan 23 DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
• Jan 23 DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
• Jan 22 SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
• Jan 21 ManuRAG: Multi-modal Retrieval Augmented Generation for Manufacturing Question Answering (Early Version)
• Jan 21 MiRAGE: A Multiagent Framework for Generating Multimodal Multihop Question-Answer Dataset for RAG Evaluation
• Jan 20 Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
• Jan 19 RAGExplorer: A Visual Analytics System for the Comparative Diagnosis of RAG Systems
• Jan 19 Augmenting Question Answering with A Hybrid RAG Approach
• Jan 16 NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems
• Jan 16 PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation
• Jan 16 Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
• Jan 16 Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models
• Jan 16 Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration
• Jan 16 Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation
• Jan 15 RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
• Jan 13 RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis
• Jan 12 Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG
• Jan 12 BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
• Jan 12 FROAV: A Framework for RAG Observation and Agent Verification - Lowering the Barrier to LLM Agent Research
• Jan 12 Is Agentic RAG worth it? An experimental comparison of RAG approaches
• Jan 11 TreePS-RAG: Tree-based Process Supervision for Reinforcement Learning in Agentic RAG
• Jan 11 Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
• Jan 11 Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
• Jan 10 Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey
• Jan 10 MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation
• Jan 10 L-RAG: Balancing Context and Retrieval with Entropy-Based Lazy Loading
• Jan 8 Self-MedRAG: a Self-Reflective Hybrid Retrieval-Augmented Generation Framework for Reliable Medical Question Answering
• Jan 8 Orion-RAG: Path-Aligned Hybrid Retrieval for Graphless Data
• Jan 8 OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation
• Jan 8 ArcAligner: Adaptive Recursive Aligner for Compressed Context Embeddings in RAG
• Jan 6 Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion
• Jan 6 Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
• Jan 6 Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
• Jan 6 Tackling the Inherent Difficulty of Noise Filtering in RAG
• Jan 7 Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
• Jan 5 Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation
• Jan 4 A Dynamic Retrieval-Augmented Generation System with Selective Memory and Remembrance
• Jan 2 Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
• Jan 2 RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering

🔥2025 December

• Dec 31 Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP Techniques
• Dec 29 Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
• Dec 27 DICE: Discrete Interpretable Comparative Evaluation with Probabilistic Scoring for Retrieval-Augmented Generation
• Dec 27 HiFi-RAG: Hierarchical Content Filtering and Two-Pass Generation for Open-Domain RAG
• Dec 25 FVA-RAG: Falsification-Verification Alignment for Mitigating Sycophantic Hallucinations
• Dec 22 QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation [Code]
• Dec 20 Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation
• Dec 19 MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
• Dec 17 The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
• Dec 16 DrugRAG: Enhancing Pharmacy LLM Performance Through A Novel Retrieval-Augmented Generation Pipeline
• Dec 16 Dynamic Context Selection for Retrieval-Augmented Generation: Mitigating Distractors and Positional Bias
• Dec 16 Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
• Dec 15 Semantic Grounding Index: Geometric Bounds on Context Engagement in RAG Systems
• Dec 12 LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models
• Dec 11 Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
• Dec 10 MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QA
• Dec 10 RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
• Dec 10 Leveraging Language Models and RAG for Efficient Knowledge Discovery in Clinical Environments
• Dec 9 Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment
• Dec 9 Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
• Dec 5 Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
• Dec 3 RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation
• Dec 3 BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents

🔥2025 November

• Nov 29 Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
• Nov 28 Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation
• Nov 27 Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
• Nov 26 MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
• Nov 25 HKRAG: Holistic Knowledge Retrieval-Augmented Generation Over Visually-Rich Documents
• Nov 24 HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
• Nov 22 Agent-as-a-Graph: Knowledge Graph-Based Tool and Agent Retrieval for LLM Multi-Agent Systems
• Nov 22 Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
• Nov 21 Beyond Component Strength: Synergistic Integration and Adaptive Calibration in Multi-Agent RAG Systems
• Nov 20 Comparison of Text-Based and Image-Based Retrieval in Multimodal Retrieval Augmented Generation Large Language Model Systems
• Nov 19 CARE-RAG - Clinical Assessment and Reasoning in RAG
• Nov 19 ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
• Nov 19 Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
• Nov 18 LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
• Nov 17 TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generation
• Nov 16 TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction
• Nov 15 MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues
• Nov 13 Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG
• Nov 13 TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
• Nov 13 RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation
• Nov 12 BarrierBench : Evaluating Large Language Models for Safety Verification in Dynamical Systems
• Nov 10 Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
• Nov 10 A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbot
• Nov 8 Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
• Nov 8 Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
• Nov 7 TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
• Nov 6 RAGalyst: Automated Human-Aligned Agentic Evaluation for Domain-Specific RAG
• Nov 5 RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse
• Nov 1 Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge

🔥2025 October

• Oct 29 DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation
• Oct 28 Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
• Oct 28 META-RAG: Meta-Analysis-Inspired Evidence-Re-Ranking Method for Retrieval-Augmented Generation in Evidence-Based Medicine
• Oct 28 PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine
• Oct 25 FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
• Oct 24 InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generation
• Oct 24 SUBQRAG: Sub-Question Driven Dynamic Graph RAG
• Oct 21 Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures
• Oct 21 Query Decomposition for RAG: Balancing Exploration-Exploitation
• Oct 17 RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
• Oct 17 Stop-RAG: Value-Based Retrieval Control for Iterative RAG
• Oct 16 Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval
• Oct 16 MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-Augmented Generation Systems
• Oct 15 ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
• Oct 15 RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge
• Oct 15 SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
• Oct 14 PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
• Oct 14 RAG-Anything: All-in-One RAG Framework
• Oct 13 Domain-Specific Data Generation Framework for RAG Adaptation
• Oct 12 RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
• Oct 12 Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
• Oct 11 LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
• Oct 11 RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
• Oct 10 Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
• Oct 10 Chain-of-Retrieval Augmented Generation
• Oct 10 When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
• Oct 9 QAgent: A modular Search Agent with Interactive Query Understanding
• Oct 9 STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
• Oct 7 HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
• Oct 6 MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts
• Oct 4 Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
• Oct 4 Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
• Oct 2 Less LLM, More Documents: Searching for Improved RAG
• Oct 2 Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
• Oct 2 Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models
• Oct 2 AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications
• Oct 1 A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
• Oct 1 Fine-tuning with RAG for Improving LLM Learning of New Skills
• Oct 1 GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
• Oct 1 HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation

🍭2025 September

• Sep 30 RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
• Sep 27 From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents
• Sep 26 Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
• Sep 26 Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
• Sep 25 Concise and Sufficient Sub-Sentence Citations for Retrieval-Augmented Generation
• Sep 24 RAR²: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval
• Sep 22 AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
• Sep 21 Influence Guided Context Selection for Effective Retrieval-Augmented Generation
• Sep 20 SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented Generation
• Sep 19 Relevance to Utility: Process-Supervised Rewrite for RAG
• Sep 17 Improving Context Fidelity via Native Retrieval-Augmented Reasoning
• Sep 9 Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking
• Sep 8 HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
• Sep 8 Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
• Sep 8 HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
• Sep 5 Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
• Sep 5 KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
• Sep 4 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
• Sep 4 MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation
• Sep 2 Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
• Sep 1 REFRAG: Rethinking RAG based Decoding
• Sep 1 Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework

🍭2025 August

• Aug 29 Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward
• Aug 27 Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
• Aug 27 Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
• Aug 27 LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation
• Aug 26 Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex Domains
• Aug 25 Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
• Aug 24 CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning
• Aug 24 SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
• Aug 24 SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation
• Aug 21 Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
• Aug 21 Select to Know: An Internal-External Knowledge Self-SelectionFramework for Domain-Specific Question Answering
• Aug 18 LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
• Aug 15 Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
• Aug 14 SSRL: Self-Search Reinforcement Learning
• Aug 14 ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
• Aug 13 Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
• Aug 13 Transforming Questions and Documents for Semantically Aligned Retrieval-Augmented Generation
• Aug 12 READER: Retrieval-Assisted Drafter for Efficient LLM Inference
• Aug 12 REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
• Aug 11 LAG: Logic-Augmented Generation from a Cartesian Perspective
• Aug 11 Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
• Aug 10 PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
• Aug 8 Guided Decoding and Its Critical Role in Retrieval-Augmented Generation
• Aug 8 UR²: Unify RAG and Reasoning through Reinforcement Learning
• Aug 8 Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation
• Aug 7 BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
• Aug 6 PAIRS: Parametric–Verified Adaptive Information Retrieval and Selection for Efficient RAG
• Aug 5 Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
• Aug 1 MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation

🍭2025 July

• Jul 29 FrugalRAG: Learning to retrieve and reason for multi-hop QA
• Jul 25 Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
• Jul 25 Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
• Jul 25 Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
• Jul 23 HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge
• Jul 15 RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism

🍭2025 June

• Jun 20 PreQRAG -- Classify and Rewrite for Enhanced RAG
• Jun 15 Intra-Trajectory Consistency for Reward Modeling
• Jun 5 Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation
• Jun 4 R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning
• Jun 2 ImpRAG: Retrieval-Augmented Generation with Implicit Queries

🥇ACL 2026

$fingdings$

• QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation [Code]

🥇ACL 2025

$main$

Methods & Pipeline & Framework

• GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis [Code]
• FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation [Code]
• RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
• RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
• Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
• RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
• Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
• MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
• DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
• DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
• Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
• KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
• Enhancing Retrieval-Augmented Generation via Evidence Tree Search
• Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
• SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
• TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
• Removal of Hallucination on Hallucination: Debate-Augmented RAG
• Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
• Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
• UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation
• DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
• Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation
• RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
• Sparse Latents Steer Retrieval-Augmented Generation
• GRAT: Guiding Retrieval-Augmented Reasoning through Process Rewards Tree Search
• LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
• Shifting from Ranking to Set Selection for Retrieval Augmented Generation
• Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting
• SGIC: A Self-Guided Iterative Calibration Framework for RAG

Benchmark & Evaluation & Analysis

• SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
• HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
• RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
• Unanswerability Evaluation for Retrieval Augmented Generation
• MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
• Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
• The Distracting Effect: Understanding Irrelevant Passages in RAG
• Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models
• A Reality Check on Context Utilisation for Retrieval-Augmented Generation
• MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
• On the Robustness of RAG Systems in Educational Question Answering under Knowledge Discrepancies

Chunk & Database

• MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
• HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation
• Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

Application

• Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
• Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
• Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation
• VISA: Retrieval Augmented Generation with Visual Source Attribution
• The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
• HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
• NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
• CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
• Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation

$fingdings$

• Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
• SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
• EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
• Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
• RASD: Retrieval-Augmented Speculative Decoding
• FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
• Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
• Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
• Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation
• GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
• CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
• RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
• The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
• PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
• RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
• CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
• Mitigating Bias in RAG: Controlling the Embedder
• HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval Augmented Generation
• SynapticRAG: Enhancing Temporal Memory Retrieval in Large Language Models through Synaptic Mechanisms
• HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
• RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
• LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
• Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps
• Evaluation of Attribution Bias in Generator-Informed Retrieval-Augmented Large Language Models
• Axiomatic Analysis of Uncertainty Estimation For Retrieval Augmented Generation
• ECoRAG: Evidentiality-guided Compression for Long Context RAG
• GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs
• LTRAG: Enhancing autoformalization and self-refinement for logical reasoning with Thought-Guided RAG
• Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
• Document Segmentation Matters for Retrieval-Augmented Generation
• Exploring Knowledge Filtering for Retrieval-Augmented Discriminative Tasks
• TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents
• EC-RAFT: Automated Generation of Clinical Trial Eligibility Criteria through Retrieval-Augmented Fine-Tuning
• RASPberry: Retrieval-Augmented Monte Carlo Tree Self-Play with Reasoning Consistency for Multi-Hop Question Answering
• Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
• All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment

🍭2025 May

• May 30 ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
• May 30 Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning
• May 30 ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
• May 26 R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
• May 26 Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
• May 24 GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis [Code]
• May 23 Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation
• May 22 C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
• May 22 R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMsvia Reinforcement Learning
• May 22 SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
• May 22 O²-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
• May 22 Attributing Response to Context: A Jensen–Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
• May 21 Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
• May 20 s3: You Don’t Need That Much Data to Train a Search Agent via RL
• May 19 Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
• May 15 CL-RAG: Bridging the Gap in Retrieval-Augmented Generation with Curriculum Learning
• May 8 Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
• May 6 An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
• May 5 Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
• May 2 Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation

🍭2025 April

• Apri 25 DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
• Apri 23 Credible plan-driven RAG method for Multi-hop Question Answering
• Apri 22 Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
• Apri 21 AlignRAG: An Adaptable Framework for Resolving Misalignments in Retrieval-Aware Reasoning of RAG
• Apri 17 DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
• Apri 17 CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
• Apri 17 Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild
• Apri 17 ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
• Apri 15 Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
• Apri 10 Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
• Apri 8 Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
• Apri 7 Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
• Apri 4 Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
• Apri 3 HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
• Apri 3 Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
• Apri 1 CoRanking: Collaborative Ranking with Small and Large Ranking Agents

🍭2025 March

• Mar 31 Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation
• Mar 31 UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
• Mar 31 Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
• Mar 30 RARE: Retrieval-Augmented Reasoning Modeling
• Mar 28 Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
• Mar 27 ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
• Mar 23 ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
• Mar 20 Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
• Mar 11 OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning

🍭2025 February

• Feb 26 Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
• Feb 25 RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
• Feb 25 Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
• Feb 25 DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
• Feb 20 Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
• Feb 19 RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision
• Feb 19 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
• Feb 19 Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
• Feb 18 RAG-Reward: Optimizing RAG with Reward Modeling and RLHF
• Feb 17 Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?
• Feb 16 RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
• Feb 14 Post-training an LLM for RAG? Train on Self-Generated Demonstrations
• Feb 3 DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

🍭2025 January

• Jan 30 Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method
• Jan 30 RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
• Jan 27 Parametric Retrieval Augmented Generation
• Jan 14 ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
• Jan 9 SUGAR: Leveraging Contextual Confidence for Smarter Retrieval
• Jan 7 Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
• Jan 2 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks

🥇ICML 2025

• From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
• LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing
• RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems
• DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
• Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
• On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
• C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
• Long-Context Inference with Retrieval-Augmented Speculative Decoding
• Position: Retrieval-augmented systems are currently dangerous medical communicators

🥇ICLR 2025

• SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
• Inference Scaling for Long-Context Retrieval Augmented Generation
• Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
• Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
• Enhancing Large Language Models' Situated Faithfulness to External Contexts
• RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
• SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
• InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
• RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
• TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
• Provence: efficient and robust context pruning for retrieval-augmented generation
• Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
• LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
• MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
• A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
• SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
• VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
• ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
• ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
• Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
• Retrieval or Reasoning: The Roles of Graphs and Large Language Models in Efficient Knowledge-Graph-Based Retrieval-Augmented Generation
• Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
• DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
• RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
• Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation
• Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
• Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
• Chunk-Distilled Language Modeling
• Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

🥇NIPS 2024

• RAGraph: A General Retrieval-Augmented Graph Learning Framework
• RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
• G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
• RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
• ChatQA: Surpassing GPT-4 on Conversational QA and RAG
• HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
• BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
• Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
• UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
• Ad Auctions for LLMs via Retrieval Augmented Generation
• ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
• TableRAG: Million-Token Table Understanding with Language Models
• xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
• Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
• Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
• Molecule Generation with Fragment Retrieval Augmentation
• WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
• Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
• ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
• CRAG - Comprehensive RAG Benchmark

🍭2024 December

• Dec 19 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
• Dec 11 DADIO: Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
• Dec 3 RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models

🍭2024 November

• Nov 1 CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation

🍭2024 October

• Oct 12 Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
• Oct 11 STRUCTRAG: BOOSTING KNOWLEDGE INTENSIVE REASONING OF LLMS VIA INFERENCE-TIME HYBRID INFORMATION STRUCTURIZATION
• Oct 11 Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation
• Oct 9 Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
• Oct 7 TableRAG: Million-Token Table Understanding with Language Models
• Oct 6 Inference Scaling for Long-Context Retrieval Augmented Generation
• Oct 4 How Much Can RAG Help the Reasoning of LLM?
• Oct 2OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
• Oct 2 OPEN-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

🍭2024 September

• Sep 23 Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
• Sep 4 Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

🍭2024 August

• Aug 30 MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
• Aug 29 LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation
• Aug 21 RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
• Aug 21 Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
• Aug 20 Analysis of Plan-based Retrieval for Grounded Text Generation
• Aug 20 Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
• Aug 19 KaPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
• Aug 17 TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
• Aug 16 Meta Knowledge for Retrieval Augmented Large Language Models
• Aug 7 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
• Aug 7 Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation
• Aug 7 Exploring RAG-based Vulnerability Augmentation with LLMs
• Aug 7 Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation
• Aug 2 BioRAG: A RAG-LLM Framework for Biological Question Reasoning
• Aug 2 Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts

🍭2024 July

• Jul 29 Improving Retrieval Augmented Language Model with Self-Reasoning
• Jul 29 Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
• Jul 28 Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
• Jul 25 Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
• Jul 20 Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
• Jul 19 RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
• Jul 17 Optimizing Query Generation for Enhanced Document Retrieval in RAG
• Jul 11 Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
• jul 2 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
• Jul 1 Searching for Best Practices in Retrieval-Augmented Generation

🍭2024 June

• Jun 29 From RAG to RICHES:Retrieval Interlaced with Sequence Generation
• Jun 27 SEAKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Genaration
• Jun 27 Unified Active Retrieval for Retrieval Augmented Generation
• Jun 27 CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
• Jun 25 Entropy-Based Decoding for Retrieval-Augmented Large Language Models
• Jun 21 RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
• Jun 21 LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
• Jun 19 R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation
• Jun 19 INSTRUCTRAG: Instructing Retrieval-Augmented Generation with Explicit Denoising
• Jun 18 Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
• Jun 18 PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
• Jun 18 Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
• Jun 12 Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
• Jun 7 Multi-Head RAG: Solving Multi-Aspect Problems with LLMs
• Jun 7 CRAG - Comprehensive RAG Benchmark
• Jun 1 Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

🍭2024 May

• May 30 GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
• May 26 Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
• May 23 HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
• May 22 xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
• May 14 ERATTA: Extreme RAG for Table To Answers with Large Language Models
• May 13 Evaluation of Retrieval-Augmented Generation: A Survey
• May 12 DUETRAG: COLLABORATIVE RETRIEVAL-AUGMENTEDGENERATION
• May 6 ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization

🍭2024 April

• Apr 26 Better Synthetic Data by Retrieving and Transforming Existing Datasets
• Apr 22 LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation
• Apr 16 How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior
• Apr 12 Reducing hallucination in structured outputs via Retrieval-Augmented Generation
• Apr 1 ARAGOG: Advanced RAG Output Grading

🍭2024 March

• Mar 21 FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
• Mar 15 RAFT: Adapting Language Model to Domain Specific RAG
• Mar 14 G-Retriever: Retrieval-AugmeAprnted Generation for Textual Graph Understanding and Question Answering
• Mar 8 RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

🍭2024 February

• Feb 27 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
• Feb 22 Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
• Feb 21 ACTIVERAG: Revealing the Treasures of Knowledge via Active Learning
• Feb 16 Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models
• Feb 16 Corrective Retrieval Augmented Generation

🍭2024 January

• Jan 27 Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
• Jan 24 UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

🥇EMNLP 2024

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• BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
• “Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
• SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
• Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
• REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
• Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
• TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
• Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
• ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
• Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
• Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
• Searching for Best Practices in Retrieval-Augmented Generation
• Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
• RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
• LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
• ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
• RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
• From RAG to Riches: Retrieval Interlaced with Sequence Generation
• Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
• Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models
• DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
• RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
• Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation

$fingdings$

• RaFe: Ranking Feedback Improves Query Rewriting for RAG
• Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
• BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
• LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
• Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models
• TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation
• BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
• Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
• Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
• “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
• LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems
• Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
• R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation
• RAG-Studio: Towards In-Domain Adaptation Of Retrieval Augmented Generation Through Self-Alignment
• Unified Active Retrieval for Retrieval Augmented Generation
• SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
• Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
• AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
• Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations

🥇ACL 2024

$main$

• Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
• An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
• Bridging the Preference Gap between Retrievers and LLMs
• ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
• M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
• Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
• Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
• RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
• Grounding Language Model with Chunking-Free In-Context Retrieval
• On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
• Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
• A Multi-Task Embedder For Retrieval Augmented LLM
• To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
• Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
• Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
• RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
• DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
• Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
• Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
• Understanding Retrieval Robustness for Retrieval-augmented Image Captioning
• Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering
• REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
• Synergistic Interplay between Search and Large Language Models for Information Retrieval

$findings$

• MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
• RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
• Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
• When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation
• RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
• Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
• Benchmarking Retrieval-Augmented Generation for Medicine
• Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
• ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
• The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

🥇ICML 2024

• C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
• DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
• InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
• A Statistical Framework for Data-dependent Retrieval-Augmented Models
• Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
• Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
• Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
• Bottleneck-Minimal Indexing for Generative Document Retrieval
• PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
• Retrieval-Augmented Score Distillation for Text-to-3D Generation
• Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
• Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation

🥇ICLR 2024

• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
• BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
• Making Retrieval-Augmented Language Models Robust to Irrelevant Context
• RA-DIT: Retrieval-Augmented Dual Instruction Tuning
• RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
• RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
• Retrieval meets Long Context Large Language Models
• SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

Star History

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