HKUST-KnowComp/Awesome-LLM-Scientific-Discovery vs masamasa59/ai-agent-papers
A side-by-side comparison of two Related Resources AI agents - to help you pick the right one.
HKUST-KnowComp/Awesome-LLM-Scientific-Discovery
HKUST-KnowComp/Awesome-LLM-Scientific-Discovery is a curated GitHub repository compiling resources, tools, and research papers on the application of large language models (LLMs) in scientific discovery. It serves as a reference hub for researchers and practitioners exploring LLMs in scientific contexts, including survey papers like the EMNLP 2025 submission.
masamasa59/ai-agent-papers
masamasa59/ai-agent-papers is a GitHub repository that automatically aggregates and curates AI research papers from arXiv, updating biweekly. It focuses on AI agent-related publications, providing a streamlined way to access recent developments in the field.
Feature comparison
| HKUST-KnowComp/Awesome-LLM-Scientific-Discovery | masamasa59/ai-agent-papers | |
|---|---|---|
| Category | Related Resources | Related Resources |
| Open source | ||
| Self-hostable | ||
| Skill level | Intermediate | Intermediate |
| Pricing | Open Source | Open Source |
HKUST-KnowComp/Awesome-LLM-Scientific-Discovery: what it solves
Provides a centralized, organized collection of research and tools for leveraging LLMs in scientific research, reducing the effort to find relevant materials.
masamasa59/ai-agent-papers: what it solves
It reduces the effort required to manually track and filter relevant AI agent research papers from arXiv.