LLM Agents Papers
A must-read paper list on large language model agents, organized by topic such as personality, memory, planning, tool use, reinforcement-learning training, and multi-agent communication.
LLM Agents Papers is a curated, must-read list of papers on large language model agents, maintained since 2023. It organizes papers under an agent-focused hierarchy covering personality, memory, planning, tool use and reinforcement-learning training, and a multiple-agents hierarchy covering task-oriented communication, collaborative exchanges, adversarial interactions and casual or open conversations, alongside sections on applications, frameworks, benchmarks and types of tools.
The list is maintained by a research lab that also links to related paper lists it curates, on reasoning with language-model prompting and on knowledge editing for large language models, and it accepts new relevant papers from contributors.
It is a curated reference list without its own dedicated codebase.