{"repo":"taesiri/ArXivQA","free":true,"listed":false,"github":"https://github.com/taesiri/ArXivQA","clone":"git clone https://github.com/taesiri/ArXivQA.git","description":"WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)","language":"Python","stars":380,"topics":["automated-qa","llm","question-answering","claude","claude2","gpt","gpt-4","llama","llama2","arxiv"],"license":null,"category":"ai-agents","readme_excerpt":"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","default_branch":null,"files":null,"tree":[],"storefront":"/r/taesiri","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/taesiri/ArXivQA/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}