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nuaa-nlp/paper-reading

45

267 commits

updated Nov 20, 2025

See the code

README

paper-reading

https://github.com/nuaa-nlp/paper-reading/blob/main/README.md

Guideline:

  • paper reading讲解的时候要深入浅出，确保自己看懂了，再用通俗的话讲出来。关键是把文章工作讲清楚，motivation，方法部分，实验是否支撑，该工作的优点和缺点，对你个人工作的启发。最重要的是后面两部分，需要你自己对工作批判性的阅读。
  • 分享的同学务必提前告知大家分享的论文，并在分享前update paper信息及slides到 nuaa-nlp/paper-reading；新人权限开通请联系pjli。
  • 参与者希望都能够提前把分享的paper进行相关背景的了解，积极提出问题及参与讨论。

next reading

2025/11/21

SpeakersPapersSlidesOthers
Yixin BuICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs[slides]-

2025/11/14

SpeakersPapersSlidesOthers
Shuo FengBootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel[slides]-
-NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM--

2025/5/23

SpeakersPapersSlidesOthers
Hongkai ZhengParallel Scaling Law for Language Models[slides]-

2025/05/09

SpeakersPapersSlidesOthers
Xinyan ShiReSearch: Learning to Reason with Search for LLMsvia Reinforcement Learning[slides]-
-R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning--
-Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

2025/4/25

SpeakersPapersSlidesOthers
Bo ZhangRethinking Transformers Pre-training for Multi-Spectral Satellite Imagery[slides]-
-SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery--
-Masked Autoencoders Are Scalable Vision Learners--

2025/4/18

SpeakersPapersSlidesOthers
Teng LinSePer: MEASURE RETRIEVAL UTILITY THROUGH THE LENS OF SEMANTIC PERPLEXITY REDUCTION[slides]-

2025/3/28

SpeakersPapersSlidesOthers
Guanyun ZouREDEEP: DETECTING HALLUCINATION IN RETRIEVAL-AUGMENTED GENERATION VIA MECHANISTIC INTERPRETABILITY[slides]-

2025/3/21

SpeakersPapersSlidesOthers
Yongpeng ZhangExplanations of Deep Language Models Explain Language Representations in the Brain[slides]-

2025/01/03

SpeakersPapersSlidesOthers
Shuo FengPRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation[slides]-
-Exploring Temporal Concurrency for Video-Language Representation Learning--
-Language modeling via stochastic processes--
Guanyun ZouDRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models[slides]-

2024/12/06

SpeakersPapersSlidesOthers
Feiyan ZhaiBEWARE OF CALIBRATION DATA FOR PRUNING LARGE LANGUAGE MODELS[slides]-
-DDK: Distilling Domain Knowledge for Efficient Large Language Models--

2024/11/22

SpeakersPapersSlidesOthers
Runze XiaTOPOLM: BRAIN-LIKE SPATIO-FUNCTIONAL ORGANIZATION IN A TOPOGRAPHIC LANGUAGE MODEL[slides]-

2024/11/15

SpeakersPapersSlidesOthers
HongKai ZhengNeural Discrete Representation Learning[slides]-
-Addressing Representation Collapse in Vector Quantized Models with One Linear Layer--
-Finite Scalar Quantization: VQ-VAE Made Simple--

2024/10/25

SpeakersPapersSlidesOthers
Zexuan LiERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis[slides]-

2024/10/25

SpeakersPapersSlidesOthers
Congchi YinFast Inference from Transformers via Speculative Decoding[slides]-

2024/10/18

SpeakersPapersSlidesOthers
Yixin BuSEMANTIC UNCERTAINTY: LINGUISTIC INVARIANCES FOR UNCERTAINTY ESTIMATION IN NATURAL LANGUAGE GENERATION[slides]-

2024/10/11

SpeakersPapersSlidesOthers
Yongpeng ZhangNull It Out: Guarding Protected Attributes by Iterative Nullspace Projection[slides]-

2024/09/27

SpeakersPapersSlidesOthers
Xinyan ShiPhysics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process[slides]-

2024/09/20

SpeakersPapersSlidesOthers
Yangsong LanDataset Distillation[slides]-
-Dataset Condensation with Gradient Matching--
-Dataset Condensation with Distribution Matching--

2024/09/13

SpeakersPapersSlidesOthers
Bo ZhangFortify the Shortest Stave in Attention:
Enhancing Context Awareness of Large Language Models for Effective Tool-Use		[slides]-

2024/05/31

SpeakersPapersSlidesOthers
Shuo FengNOIR: Neural Signal Operated Intelligent Robots for Everyday Activities[slides]-

2024/04/19

SpeakersPapersSlidesOthers
Xinyan ShiPhysics of Language Models: Part 3.1, Knowledge Storage and Extraction[slides]-

2024/04/07

SpeakersPapersSlidesOthers
Xuanfan NiMamba: Linear-Time Sequence Modeling with Selective State Spaces[slides]-

2024/03/15

SpeakersPapersSlidesOthers
Bo ZhangTrial and Error: Exploration-Based Trajectory Optimization for LLM Agents[slides]-

2024/03/08

SpeakersPapersSlidesOthers
Feiyan ZhaiDynamic Confidence-Aware Multi-Modal Emotion Recognition[slides]-

2024/01/17

SpeakersPapersSlidesOthers
Shuo FengStructure-Encoding Auxiliary Tasks for Improved Visual Representation[slides]-

2024/1/10

SpeakersPapersSlidesOthers
Yixin BuMeaning without reference in large language models [slides]-

2023/12/27

SpeakersPapersSlidesOthers
Yongpeng ZhangEvidence of a predictive coding hierarchy in the human brain listening to speech [slides]-

2023/12/20

SpeakersPapersSlidesOthers
Renzhi WangLabel Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning[slides]-

2023/12/13

SpeakersPapersSlidesOthers
Zexuan LiLLMaAA: Making Large Language Models as Active Annotators[slides]-
-LabelPrompt: Effective Prompt-based Learning for Relation Classification--

2023/11/29

SpeakersPapersSlidesOthers
Yangsong LanGo Wider Instead of Deeper[slides]-
-Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity--
-Mixture-of-Experts with Expert Choice Routing--
-Brainformers: Trading Simplicity for Efficiency--

2023/11/22

SpeakersPapersSlidesOthers
Haiyang OuUltra-fine Entity Typing with Indirect Supervision from Natural Language Inference[slides]-
-PromptNER : Prompting For FewShot Named Entity Recognition--

2023/11/15

SpeakersPapersSlidesOthers
Yang CaoOn Faithfulness and Factuality in Abstractive Summarization[slides]-
-GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment--

2023/11/08

SpeakersPapersSlidesOthers
Xi WangChatHaruhi: Reviving Anime Character in Reality via Large Language Model[slides]-
-RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models--

2023/11/03

SpeakersPapersSlidesOthers
Congchi YinDisentangling Syntax and Semantics in the Brain with Deep Networks[slides]-

2023/10/25

SpeakersPapersSlidesOthers
Ruoqing ZhaoFinding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting[slides]-
-Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images--

2023/10/18

SpeakersPapersSlidesOthers
Runze XiaMindGPT: Interpreting What You See with Non-invasive Brain Recordings[slides]-
-BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity--

2023/10/11

SpeakersPapersSlidesOthers
Renzhi WangEditing Large Language Models: Problems, Methods, and Opportunities[slides]-
-EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models--
Xinyan ShiMemPrompt: Memory-assisted Prompt Editing with User Feedback[slides]-
-Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adapters--

2023/09/27

SpeakersPapersSlidesOthers
Fan Yuan Chain-of-Verification Reduces Hallucination in Large Language Models [slides]-
- Evaluating Object Hallucination in Large Vision-Language Models --
SpeakersPapersSlidesOthers
Xuanfan NI DOLA: DECODING BY CONTRASTING LAYERS IMPROVES FACTUALITY IN LARGE LANGUAGE MODELS[slides]-
-Knowledge Sanitization of Large Language Models--

2023/09/25

SpeakersPapersSlidesOthers
Feiyan Zhai Go Wider Instead of Deeper [slides]-
- Pushing Mixture of Experts to the Limit:Extremely Parameter Efficient MoE for Instruction Tuning --
- OUTRAGEOUSLY LARGE NEURAL NETWORKS:THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER --
SpeakersPapersSlidesOthers
BoZhangGenerative Agents: Interactive Simulacra of Human Behavior [slides]-
-CHATEVAL: TOWARDS BETTER LLM-BASED EVALUATORS THROUGH MULTI-AGENT DEBATE--
-BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents --
-AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework--

2023/09/13

SpeakersPapersSlidesOthers
Yihong Liu Highly accurate protein structure prediction with AlphaFold [slides]-
- Robust deep learning based protein sequence design using ProteinMPNN --
- ProteinBERT: A universal deep-learning model of protein sequence and function --
- ProtGPT2 is a deep unsupervised language model for protein design --
- OntoProtein: Protein Pretraining With Gene Ontology Embedding --

2023/09/13

SpeakersPapersSlidesOthers
Shuo Feng NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models [slides]-
- TEACh: Task-driven Embodied Agents that Chat --

2023/06/09

SpeakersPapersSlidesOthers
Feiyan ZhaiFlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness [slides]-

2023/05/05

SpeakersPapersSlidesOthers
Renzhi WangGenerative Agents: Interactive Simulacra of Human Behavior [slides]-

2023/04/21

SpeakersPapersSlidesOthers
Xuanfan NiDeep reinforcement learning from human preferences[slides]-
-Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback--

2023/04/07

SpeakersPapersSlidesOthers
Xi WangRethinking the Role of Demonstrations: What Makes In-Context Learning Work?[slides]-
-Larger language models do in-context learning differently--

2023/03/23

SpeakersPapersSlidesOthers
Fan YuanLanguage Is Not All You Need: Aligning Perception with Language Models[slides]-
-Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models--

2023/03/17

SpeakersPapersSlidesOthers
Yang CaoGet To The Point: Summarization with Pointer-Generator Networks[slides]-
-SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization--

2023/03/03

SpeakersPapersSlidesOthers
Congchi Yinfindings of ACL 2022 Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text[slides]-
-findings of ACL 2022 MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning--

2022/12/06

SpeakersPapersSlidesOthers
Shuo FengVision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments[slides]-
-VLNœBERT: A Recurrent Vision-and-Language BERT for Navigation--
-General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping--
-Learning Disentanglement with Decoupled Labels for Vision-Language Navigation--
-LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation--

2022/11/29

SpeakersPapersSlidesOthers
Renzhi WangDenoising Diffusion Probabilistic Models[slides]-
-Improved Denoising Diffusion Probabilistic Models--
-Score-Based Generative Modeling through Stochastic Differential Equations--
-Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting--
-Diffusion Models Beat GANs on Image Synthesis--
-High-Resolution Image Synthesis With Latent Diffusion Models--
-Diffusion-LM Improves Controllable Text Generation--
Denoising Diffusion Implicit Models--
-DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models--
-Structured Denoising Diffusion Models in Discrete State-Spaces--
-DiffusER: Discrete Diffusion via Edit-based Reconstruction--
-SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control--

2022/11/15

SpeakersPapersSlidesOthers
Xuanfan Ni (NUAA)Chain of Thought Prompting Elicits Reasoning in Large Language Models[slides]-
-Self-Consistency Improves Chain of Thought Reasoning in Language Models[slides]-

2022/11/01

SpeakersPapersSlidesOthers
Fan YuanICLR 2019 The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision[slides]-

2022/10/18

SpeakersPapersSlidesOthers
Feiyan ZhaiNeurIPS 2020 Denoising Diffusion Probabilistic Models[slides]-
-Diffusion-LM Improves Controllable Text Generation--

2022/10/11

SpeakersPapersSlidesOthers
Xi WangICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation[slides]-

2022/09/27

SpeakersPapersSlidesOthers
Ruoqing ZhaoICLR 2022 BEiT: BERT Pre-Training of Image Transformers[slides]-
-BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers--
-Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks--

2022/09/20

SpeakersPapersSlidesOthers
Yang CaoNIPS 2017 Attention is all you need[slides]-

2022/09/13

SpeakersPapersSlidesOthers
Congchi YinICLR 2021 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale[slides]-
-ICCV 2021 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows--

2022/04/01

SpeakersPapersSlidesOthers
Xuan ShengICLR 2020 Heterofl: Computation and communication efficient federated learning for heterogeneous clients[slides]-
-NeurIPS workshop 2019 FedMD: Heterogenous Federated Learning via Model Distillation--

2022/03/25

SpeakersPapersSlidesOthers
Zhaoyang HanCCS 2017 Practical Secure Aggregation for Privacy-Preserving Machine Learning[slides]-
-MLSys 2019 TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN[slides]-

2021/12/22

SpeakersPapersSlidesOthers
Xi Wang(NUAA)Chinese Spelling Check paper sharing[slides]-
-SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check--
-Correcting Chinese Spelling Errors with Phonetic Pre-training--
-PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check--

2021/12/15

SpeakersPapersSlidesOthers
RuoQing Zhao(NUAA)causal inference and medical report generation paper sharing[slides]-
-TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays--
-Causal Attention for Vision-Language Tasks--

2021/12/02

SpeakersPapersSlidesOthers
Fan Yuan (NUAA)multi-modal dialogue paper sharing[slides]-
-Multi-Modal Open-Domain Dialogue--
-Multimodal Dialogue Response Generation--
-Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts--

2021/12/02

SpeakersPapersSlidesOthers
Weibin Wu (NUAA)A Brief Tutorial of Side Channel Attack[slides]-

2021/11/25

SpeakersPapersSlidesOthers
Zhixin Zhao (NUAA)A Brief Tutorial of Blockchain[slides]-

2021/11/17

SpeakersPapersSlidesOthers
Xuanfan Ni (NUAA)Prefix-Tuning: Optimizing Continuous Prompts for Generation[slides]-
-A Character-Centric Neural Model for Automated Story Generation[slides]-
-Attention Is All You Need[slides]-

2021/11/11

SpeakersPapersSlidesOthers
Zeyu Qin (CUHK-SZ)A Brief Tutorial of Adversarial Machine Learning (After 2019)[slides]-

2021/10/28

SpeakersPapersSlidesOthers
Wenjie ZhouICDE 2021 Attacking Black-box Recommendations via Copying Cross-domain User Profiles[slides]-

2021/10/28

SpeakersPapersSlidesOthers
ZiHao DengCVPR 2021 MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation[slides]-

2021/10/21

SpeakersPapersSlidesOthers
Zhicheng Liunpublish 2021 Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.[slides]-

2021/09/30

SpeakersPapersSlidesOthers
Zikang JinCVPR 2019 Evading defenses to transferable adversarial examples by translation-invariant attacks.[slides]-
-CVPR 2019 Feature space perturbations yield more transferable adversarial examples.--

2021/09/16

SpeakersPapersSlidesOthers
Yundi ShiEMNLP 2017 Adversarial Examples for Evaluating Reading Comprehension Systems.[slides]-
-ACL 2019 Improving the Robustness of Question Answering Systems to Question Paraphrasing.--

2021/09/02

SpeakersPapersSlidesOthers
Xuan ShengUSENIX 2020 Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries[slides]-
-CCS 2020 Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks--

2021/08/18

SpeakersPapersSlidesOthers
Changchun YinICLR 2014 Intriguing properties of neural networks[slides]-
-ICLR 2015 Explaining and Harnessing Adversarial Examples--
-IJCAI 2018 Generating Adversarial Examples with Adversarial Networks--
-TEC 2019 One Pixel Attack for Fooling Deep Neural Networks--

2021/07/28

SpeakersPapersSlidesOthers
Zhaoyang HanUSENIX 2020 TEXTSHIELD: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation[slides]-
-NDSS 2019 TextBugger: Generating Adversarial Text Against Real-world Applications--

Significant stargazers

Yuhao

290 followers · starred Nov 2022

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nuaa-nlp/paper-reading

45

267 commits

updated Nov 20, 2025

See the code

README

paper-reading

https://github.com/nuaa-nlp/paper-reading/blob/main/README.md

Guideline:

  • paper reading讲解的时候要深入浅出，确保自己看懂了，再用通俗的话讲出来。关键是把文章工作讲清楚，motivation，方法部分，实验是否支撑，该工作的优点和缺点，对你个人工作的启发。最重要的是后面两部分，需要你自己对工作批判性的阅读。
  • 分享的同学务必提前告知大家分享的论文，并在分享前update paper信息及slides到 nuaa-nlp/paper-reading；新人权限开通请联系pjli。
  • 参与者希望都能够提前把分享的paper进行相关背景的了解，积极提出问题及参与讨论。

next reading

2025/11/21

SpeakersPapersSlidesOthers
Yixin BuICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs[slides]-

2025/11/14

SpeakersPapersSlidesOthers
Shuo FengBootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel[slides]-
-NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM--

2025/5/23

SpeakersPapersSlidesOthers
Hongkai ZhengParallel Scaling Law for Language Models[slides]-

2025/05/09

SpeakersPapersSlidesOthers
Xinyan ShiReSearch: Learning to Reason with Search for LLMsvia Reinforcement Learning[slides]-
-R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning--
-Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

2025/4/25

SpeakersPapersSlidesOthers
Bo ZhangRethinking Transformers Pre-training for Multi-Spectral Satellite Imagery[slides]-
-SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery--
-Masked Autoencoders Are Scalable Vision Learners--

2025/4/18

SpeakersPapersSlidesOthers
Teng LinSePer: MEASURE RETRIEVAL UTILITY THROUGH THE LENS OF SEMANTIC PERPLEXITY REDUCTION[slides]-

2025/3/28

SpeakersPapersSlidesOthers
Guanyun ZouREDEEP: DETECTING HALLUCINATION IN RETRIEVAL-AUGMENTED GENERATION VIA MECHANISTIC INTERPRETABILITY[slides]-

2025/3/21

SpeakersPapersSlidesOthers
Yongpeng ZhangExplanations of Deep Language Models Explain Language Representations in the Brain[slides]-

2025/01/03

SpeakersPapersSlidesOthers
Shuo FengPRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation[slides]-
-Exploring Temporal Concurrency for Video-Language Representation Learning--
-Language modeling via stochastic processes--
Guanyun ZouDRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models[slides]-

2024/12/06

SpeakersPapersSlidesOthers
Feiyan ZhaiBEWARE OF CALIBRATION DATA FOR PRUNING LARGE LANGUAGE MODELS[slides]-
-DDK: Distilling Domain Knowledge for Efficient Large Language Models--

2024/11/22

SpeakersPapersSlidesOthers
Runze XiaTOPOLM: BRAIN-LIKE SPATIO-FUNCTIONAL ORGANIZATION IN A TOPOGRAPHIC LANGUAGE MODEL[slides]-

2024/11/15

SpeakersPapersSlidesOthers
HongKai ZhengNeural Discrete Representation Learning[slides]-
-Addressing Representation Collapse in Vector Quantized Models with One Linear Layer--
-Finite Scalar Quantization: VQ-VAE Made Simple--

2024/10/25

SpeakersPapersSlidesOthers
Zexuan LiERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis[slides]-

2024/10/25

SpeakersPapersSlidesOthers
Congchi YinFast Inference from Transformers via Speculative Decoding[slides]-

2024/10/18

SpeakersPapersSlidesOthers
Yixin BuSEMANTIC UNCERTAINTY: LINGUISTIC INVARIANCES FOR UNCERTAINTY ESTIMATION IN NATURAL LANGUAGE GENERATION[slides]-

2024/10/11

SpeakersPapersSlidesOthers
Yongpeng ZhangNull It Out: Guarding Protected Attributes by Iterative Nullspace Projection[slides]-

2024/09/27

SpeakersPapersSlidesOthers
Xinyan ShiPhysics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process[slides]-

2024/09/20

SpeakersPapersSlidesOthers
Yangsong LanDataset Distillation[slides]-
-Dataset Condensation with Gradient Matching--
-Dataset Condensation with Distribution Matching--

2024/09/13

SpeakersPapersSlidesOthers
Bo ZhangFortify the Shortest Stave in Attention:
Enhancing Context Awareness of Large Language Models for Effective Tool-Use		[slides]-

2024/05/31

SpeakersPapersSlidesOthers
Shuo FengNOIR: Neural Signal Operated Intelligent Robots for Everyday Activities[slides]-

2024/04/19

SpeakersPapersSlidesOthers
Xinyan ShiPhysics of Language Models: Part 3.1, Knowledge Storage and Extraction[slides]-

2024/04/07

SpeakersPapersSlidesOthers
Xuanfan NiMamba: Linear-Time Sequence Modeling with Selective State Spaces[slides]-

2024/03/15

SpeakersPapersSlidesOthers
Bo ZhangTrial and Error: Exploration-Based Trajectory Optimization for LLM Agents[slides]-

2024/03/08

SpeakersPapersSlidesOthers
Feiyan ZhaiDynamic Confidence-Aware Multi-Modal Emotion Recognition[slides]-

2024/01/17

SpeakersPapersSlidesOthers
Shuo FengStructure-Encoding Auxiliary Tasks for Improved Visual Representation[slides]-

2024/1/10

SpeakersPapersSlidesOthers
Yixin BuMeaning without reference in large language models [slides]-

2023/12/27

SpeakersPapersSlidesOthers
Yongpeng ZhangEvidence of a predictive coding hierarchy in the human brain listening to speech [slides]-

2023/12/20

SpeakersPapersSlidesOthers
Renzhi WangLabel Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning[slides]-

2023/12/13

SpeakersPapersSlidesOthers
Zexuan LiLLMaAA: Making Large Language Models as Active Annotators[slides]-
-LabelPrompt: Effective Prompt-based Learning for Relation Classification--

2023/11/29

SpeakersPapersSlidesOthers
Yangsong LanGo Wider Instead of Deeper[slides]-
-Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity--
-Mixture-of-Experts with Expert Choice Routing--
-Brainformers: Trading Simplicity for Efficiency--

2023/11/22

SpeakersPapersSlidesOthers
Haiyang OuUltra-fine Entity Typing with Indirect Supervision from Natural Language Inference[slides]-
-PromptNER : Prompting For FewShot Named Entity Recognition--

2023/11/15

SpeakersPapersSlidesOthers
Yang CaoOn Faithfulness and Factuality in Abstractive Summarization[slides]-
-GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment--

2023/11/08

SpeakersPapersSlidesOthers
Xi WangChatHaruhi: Reviving Anime Character in Reality via Large Language Model[slides]-
-RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models--

2023/11/03

SpeakersPapersSlidesOthers
Congchi YinDisentangling Syntax and Semantics in the Brain with Deep Networks[slides]-

2023/10/25

SpeakersPapersSlidesOthers
Ruoqing ZhaoFinding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting[slides]-
-Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images--

2023/10/18

SpeakersPapersSlidesOthers
Runze XiaMindGPT: Interpreting What You See with Non-invasive Brain Recordings[slides]-
-BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity--

2023/10/11

SpeakersPapersSlidesOthers
Renzhi WangEditing Large Language Models: Problems, Methods, and Opportunities[slides]-
-EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models--
Xinyan ShiMemPrompt: Memory-assisted Prompt Editing with User Feedback[slides]-
-Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adapters--

2023/09/27

SpeakersPapersSlidesOthers
Fan Yuan Chain-of-Verification Reduces Hallucination in Large Language Models [slides]-
- Evaluating Object Hallucination in Large Vision-Language Models --
SpeakersPapersSlidesOthers
Xuanfan NI DOLA: DECODING BY CONTRASTING LAYERS IMPROVES FACTUALITY IN LARGE LANGUAGE MODELS[slides]-
-Knowledge Sanitization of Large Language Models--

2023/09/25

SpeakersPapersSlidesOthers
Feiyan Zhai Go Wider Instead of Deeper [slides]-
- Pushing Mixture of Experts to the Limit:Extremely Parameter Efficient MoE for Instruction Tuning --
- OUTRAGEOUSLY LARGE NEURAL NETWORKS:THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER --
SpeakersPapersSlidesOthers
BoZhangGenerative Agents: Interactive Simulacra of Human Behavior [slides]-
-CHATEVAL: TOWARDS BETTER LLM-BASED EVALUATORS THROUGH MULTI-AGENT DEBATE--
-BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents --
-AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework--

2023/09/13

SpeakersPapersSlidesOthers
Yihong Liu Highly accurate protein structure prediction with AlphaFold [slides]-
- Robust deep learning based protein sequence design using ProteinMPNN --
- ProteinBERT: A universal deep-learning model of protein sequence and function --
- ProtGPT2 is a deep unsupervised language model for protein design --
- OntoProtein: Protein Pretraining With Gene Ontology Embedding --

2023/09/13

SpeakersPapersSlidesOthers
Shuo Feng NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models [slides]-
- TEACh: Task-driven Embodied Agents that Chat --

2023/06/09

SpeakersPapersSlidesOthers
Feiyan ZhaiFlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness [slides]-

2023/05/05

SpeakersPapersSlidesOthers
Renzhi WangGenerative Agents: Interactive Simulacra of Human Behavior [slides]-

2023/04/21

SpeakersPapersSlidesOthers
Xuanfan NiDeep reinforcement learning from human preferences[slides]-
-Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback--

2023/04/07

SpeakersPapersSlidesOthers
Xi WangRethinking the Role of Demonstrations: What Makes In-Context Learning Work?[slides]-
-Larger language models do in-context learning differently--

2023/03/23

SpeakersPapersSlidesOthers
Fan YuanLanguage Is Not All You Need: Aligning Perception with Language Models[slides]-
-Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models--

2023/03/17

SpeakersPapersSlidesOthers
Yang CaoGet To The Point: Summarization with Pointer-Generator Networks[slides]-
-SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization--

2023/03/03

SpeakersPapersSlidesOthers
Congchi Yinfindings of ACL 2022 Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text[slides]-
-findings of ACL 2022 MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning--

2022/12/06

SpeakersPapersSlidesOthers
Shuo FengVision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments[slides]-
-VLNœBERT: A Recurrent Vision-and-Language BERT for Navigation--
-General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping--
-Learning Disentanglement with Decoupled Labels for Vision-Language Navigation--
-LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation--

2022/11/29

SpeakersPapersSlidesOthers
Renzhi WangDenoising Diffusion Probabilistic Models[slides]-
-Improved Denoising Diffusion Probabilistic Models--
-Score-Based Generative Modeling through Stochastic Differential Equations--
-Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting--
-Diffusion Models Beat GANs on Image Synthesis--
-High-Resolution Image Synthesis With Latent Diffusion Models--
-Diffusion-LM Improves Controllable Text Generation--
Denoising Diffusion Implicit Models--
-DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models--
-Structured Denoising Diffusion Models in Discrete State-Spaces--
-DiffusER: Discrete Diffusion via Edit-based Reconstruction--
-SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control--

2022/11/15

SpeakersPapersSlidesOthers
Xuanfan Ni (NUAA)Chain of Thought Prompting Elicits Reasoning in Large Language Models[slides]-
-Self-Consistency Improves Chain of Thought Reasoning in Language Models[slides]-

2022/11/01

SpeakersPapersSlidesOthers
Fan YuanICLR 2019 The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision[slides]-

2022/10/18

SpeakersPapersSlidesOthers
Feiyan ZhaiNeurIPS 2020 Denoising Diffusion Probabilistic Models[slides]-
-Diffusion-LM Improves Controllable Text Generation--

2022/10/11

SpeakersPapersSlidesOthers
Xi WangICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation[slides]-

2022/09/27

SpeakersPapersSlidesOthers
Ruoqing ZhaoICLR 2022 BEiT: BERT Pre-Training of Image Transformers[slides]-
-BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers--
-Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks--

2022/09/20

SpeakersPapersSlidesOthers
Yang CaoNIPS 2017 Attention is all you need[slides]-

2022/09/13

SpeakersPapersSlidesOthers
Congchi YinICLR 2021 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale[slides]-
-ICCV 2021 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows--

2022/04/01

SpeakersPapersSlidesOthers
Xuan ShengICLR 2020 Heterofl: Computation and communication efficient federated learning for heterogeneous clients[slides]-
-NeurIPS workshop 2019 FedMD: Heterogenous Federated Learning via Model Distillation--

2022/03/25

SpeakersPapersSlidesOthers
Zhaoyang HanCCS 2017 Practical Secure Aggregation for Privacy-Preserving Machine Learning[slides]-
-MLSys 2019 TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN[slides]-

2021/12/22

SpeakersPapersSlidesOthers
Xi Wang(NUAA)Chinese Spelling Check paper sharing[slides]-
-SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check--
-Correcting Chinese Spelling Errors with Phonetic Pre-training--
-PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check--

2021/12/15

SpeakersPapersSlidesOthers
RuoQing Zhao(NUAA)causal inference and medical report generation paper sharing[slides]-
-TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays--
-Causal Attention for Vision-Language Tasks--

2021/12/02

SpeakersPapersSlidesOthers
Fan Yuan (NUAA)multi-modal dialogue paper sharing[slides]-
-Multi-Modal Open-Domain Dialogue--
-Multimodal Dialogue Response Generation--
-Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts--

2021/12/02

SpeakersPapersSlidesOthers
Weibin Wu (NUAA)A Brief Tutorial of Side Channel Attack[slides]-

2021/11/25

SpeakersPapersSlidesOthers
Zhixin Zhao (NUAA)A Brief Tutorial of Blockchain[slides]-

2021/11/17

SpeakersPapersSlidesOthers
Xuanfan Ni (NUAA)Prefix-Tuning: Optimizing Continuous Prompts for Generation[slides]-
-A Character-Centric Neural Model for Automated Story Generation[slides]-
-Attention Is All You Need[slides]-

2021/11/11

SpeakersPapersSlidesOthers
Zeyu Qin (CUHK-SZ)A Brief Tutorial of Adversarial Machine Learning (After 2019)[slides]-

2021/10/28

SpeakersPapersSlidesOthers
Wenjie ZhouICDE 2021 Attacking Black-box Recommendations via Copying Cross-domain User Profiles[slides]-

2021/10/28

SpeakersPapersSlidesOthers
ZiHao DengCVPR 2021 MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation[slides]-

2021/10/21

SpeakersPapersSlidesOthers
Zhicheng Liunpublish 2021 Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.[slides]-

2021/09/30

SpeakersPapersSlidesOthers
Zikang JinCVPR 2019 Evading defenses to transferable adversarial examples by translation-invariant attacks.[slides]-
-CVPR 2019 Feature space perturbations yield more transferable adversarial examples.--

2021/09/16

SpeakersPapersSlidesOthers
Yundi ShiEMNLP 2017 Adversarial Examples for Evaluating Reading Comprehension Systems.[slides]-
-ACL 2019 Improving the Robustness of Question Answering Systems to Question Paraphrasing.--

2021/09/02

SpeakersPapersSlidesOthers
Xuan ShengUSENIX 2020 Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries[slides]-
-CCS 2020 Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks--

2021/08/18

SpeakersPapersSlidesOthers
Changchun YinICLR 2014 Intriguing properties of neural networks[slides]-
-ICLR 2015 Explaining and Harnessing Adversarial Examples--
-IJCAI 2018 Generating Adversarial Examples with Adversarial Networks--
-TEC 2019 One Pixel Attack for Fooling Deep Neural Networks--

2021/07/28

SpeakersPapersSlidesOthers
Zhaoyang HanUSENIX 2020 TEXTSHIELD: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation[slides]-
-NDSS 2019 TextBugger: Generating Adversarial Text Against Real-world Applications--

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