LLM-Agents-Papers
VerifiedCurated bibliography of research on LLM-based agents.
What is LLM-Agents-Papers?
LLM-Agents-Papers is an organized index of scholarly articles that examine agents built with large language models. The structure breaks topics into clear categories such as planning methods, memory systems, role-playing scenarios, and field-specific uses ranging from chemistry to software engineering.
Readers locate papers through topical headings that include both recent surveys and focused studies on safety, scaling, and evaluation benchmarks. Links to arXiv entries and occasional code repositories accompany each listing.
The resource serves researchers tracking developments in agent capabilities, students seeking references for projects, and practitioners exploring reliable sources on multi-agent frameworks or training approaches.
What you can build with LLM-Agents-Papers
Locate evaluation surveys
Browse the Survey section to find recent overviews that compare tools for measuring automation and agent performance across different tasks.
Explore domain applications
Check the Application headings to review papers that apply LLM agents to specialized areas such as medicine, finance, or physics problem solving.
Study safety considerations
Use the Stability and Infrastructure sections to identify work on bias, hallucination mitigation, and benchmark datasets for agent testing.
Install LLM-Agents-Papers
- 1Open the repository page in a web browser.
- 2Scroll to the Papers section and expand a main category such as Technique For Enhancement.
- 3Select a subtopic like Planning or RAG to view dated paper entries.
- 4Click any paper title or code link to access the source material.
- 5Review the Recommendation section for additional curated lists on related agent topics.
LLM-Agents-Papers: pros & cons
Pros
- +Broad topical coverage across dozens of agent research areas
- +Frequent updates with new paper additions
- +Direct links to both papers and supplementary code when available
- +Pointers to complementary reading lists for deeper exploration
Cons
- –Contains only references rather than runnable code or tutorials
- –Depends on external sites for full paper access
- –No built-in search or filtering tools beyond manual browsing
Frequently asked questions
The repository shows a last-updated date and continues to add new papers on a regular basis.
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