This project provides an automated question-answering system for ArXiv papers, targeting researchers and developers interested in leveraging LLMs for scientific literature analysis. It aims to simplify the process of extracting information and insights from research papers.

How It Works

The system processes ArXiv papers, likely using LLMs to understand and answer questions posed against the paper content. The README lists various ArXiv papers with associated "[Arxiv]" and "[QA]" links, suggesting a focus on building a dataset or a framework for evaluating QA capabilities on scientific documents.

Quick Start & Requirements

• Primary install / run command: Not specified in the README.
• Prerequisites: Access to ArXiv papers and LLM APIs (Anthropic's Claude-2.1 API is mentioned as a sponsor).
• Setup time/resource footprint: Not specified.
• Links: https://arxiv.taesiri.xyz/

Highlighted Details

• Focuses on ArXiv papers, a rich source of scientific research.
• Mentions specific LLM applications like 3D captioning, cross-lingual generalization, and multimodal agents.
• Includes a curated list of papers with QA links, potentially for benchmarking or dataset creation.

Maintenance & Community

• Supported by Anthropic, with free access to the Claude-2.1 API.
• No other community or maintenance details are provided.

Licensing & Compatibility

• License not specified in the README.
• Compatibility for commercial use or closed-source linking is unknown.

Limitations & Caveats

The project is marked as "WIP" (Work In Progress), indicating it is under active development and may not be stable or feature-complete. Specific implementation details, installation instructions, and licensing information are missing.