taesiri/ArXivQA

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

Python

382

738 commits

updated Aug 25, 2025

arxiv.taesiri.xyz

See the code

README

Automated Question Answering with ArXiv Papers

Latest 25 Papers

View Selection for 3D Captioning via Diffusion Ranking - [Arxiv] [QA]
Language Imbalance Can Boost Cross-lingual Generalisation - [Arxiv] [QA]
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments - [Arxiv] [QA]
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models - [Arxiv] [QA]
Rho-1: Not All Tokens Are What You Need - [Arxiv] [QA]
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification - [Arxiv] [QA]
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review - [Arxiv] [QA]
AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs - [Arxiv] [QA]
High-Dimension Human Value Representation in Large Language Models - [Arxiv] [QA]
Overparameterized Multiple Linear Regression as Hyper-Curve Fitting - [Arxiv] [QA]
Fuss-Free Network: A Simplified and Efficient Neural Network for Crowd Counting - [Arxiv] [QA]
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese - [Arxiv] [QA]
Sparse Laneformer - [Arxiv] [QA]
From the Lab to the Theater: An Unconventional Field Robotics Journey - [Arxiv] [QA]
Discourse-Aware In-Context Learning for Temporal Expression Normalization - [Arxiv] [QA]
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization - [Arxiv] [QA]
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations - [Arxiv] [QA]
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network - [Arxiv] [QA]
Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models -- Technical Challenges and Implications for Monitoring and Verification - [Arxiv] [QA]
Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis - [Arxiv] [QA]
Reframing the Mind-Body Picture: Applying Formal Systems to the Relationship of Mind and Matter - [Arxiv] [QA]
Reflectance Estimation for Proximity Sensing by Vision-Language Models: Utilizing Distributional Semantics for Low-Level Cognition in Robotics - [Arxiv] [QA]
Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking - [Arxiv] [QA]
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns - [Arxiv] [QA]
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes - [Arxiv] [QA]

List of Papers by Year

Acknowledgements

This project is made possible through the generous support of Anthropic, who provided free access to the Claude-2.1 API.

License

License Map

Scope	What	License
Code	Automation code	Apache-2.0
Generated text (`summaries/`, `qa/`)	Summaries & Q&A (AI-assisted)	CC BY 4.0
Third-party papers (e.g., arXiv)	Metadata + links only	Original authors’ terms

arxiv

arxiv-daily

arxiv-dataset

arxiv-papers

arxiv-preprint

automated-qa

claude

claude2

gpt

gpt-4

llama

llama2

llm

question-answering

Contributors

taesiri

737 commits

wanng-ide

1 commits

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taesiri/ArXivQA

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

Python

382

738 commits

updated Aug 25, 2025

arxiv.taesiri.xyz

See the code

README

Automated Question Answering with ArXiv Papers

Latest 25 Papers

View Selection for 3D Captioning via Diffusion Ranking - [Arxiv] [QA]
Language Imbalance Can Boost Cross-lingual Generalisation - [Arxiv] [QA]
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments - [Arxiv] [QA]
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models - [Arxiv] [QA]
Rho-1: Not All Tokens Are What You Need - [Arxiv] [QA]
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification - [Arxiv] [QA]
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review - [Arxiv] [QA]
AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs - [Arxiv] [QA]
High-Dimension Human Value Representation in Large Language Models - [Arxiv] [QA]
Overparameterized Multiple Linear Regression as Hyper-Curve Fitting - [Arxiv] [QA]
Fuss-Free Network: A Simplified and Efficient Neural Network for Crowd Counting - [Arxiv] [QA]
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese - [Arxiv] [QA]
Sparse Laneformer - [Arxiv] [QA]
From the Lab to the Theater: An Unconventional Field Robotics Journey - [Arxiv] [QA]
Discourse-Aware In-Context Learning for Temporal Expression Normalization - [Arxiv] [QA]
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization - [Arxiv] [QA]
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations - [Arxiv] [QA]
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network - [Arxiv] [QA]
Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models -- Technical Challenges and Implications for Monitoring and Verification - [Arxiv] [QA]
Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis - [Arxiv] [QA]
Reframing the Mind-Body Picture: Applying Formal Systems to the Relationship of Mind and Matter - [Arxiv] [QA]
Reflectance Estimation for Proximity Sensing by Vision-Language Models: Utilizing Distributional Semantics for Low-Level Cognition in Robotics - [Arxiv] [QA]
Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking - [Arxiv] [QA]
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns - [Arxiv] [QA]
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes - [Arxiv] [QA]

List of Papers by Year

Acknowledgements

This project is made possible through the generous support of Anthropic, who provided free access to the Claude-2.1 API.

License

License Map

Scope	What	License
Code	Automation code	Apache-2.0
Generated text (`summaries/`, `qa/`)	Summaries & Q&A (AI-assisted)	CC BY 4.0
Third-party papers (e.g., arXiv)	Metadata + links only	Original authors’ terms

arxiv

arxiv-daily

arxiv-dataset

arxiv-papers

arxiv-preprint

automated-qa

claude

claude2

gpt

gpt-4

llama

llama2

llm

question-answering

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该仓库主要记录 LLMs 算法工程师相关的顶会论文研读笔记（多模态、PEFT、小样本QA问答、RAG、LMMs可解释性、Agents、CoT）

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taesiri

737 commits

wanng-ide

1 commits

Languages

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86.5%

Shell

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