ArXivQA

Python

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

Last updated Jun 14, 2026

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#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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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 |

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