LLM Agents Papers
Basic Information
This repository is a curated, continuously updated bibliography of academic and technical papers about large language model (LLM) based agents. It aggregates surveys, methodological studies, application papers, evaluation benchmarks, datasets, and infrastructure reports that relate to agent architectures, planning, memory, reflection and feedback, retrieval-augmented generation (RAG), tool usage, web and GUI agents, simulation and multi-agent systems. The README organizes entries by topic and subtopic (for example planning, memory, RAG, interaction, automation, training, scaling, stability and infrastructure) and records publication dates. Many entries indicate associated code artifacts where available. The list is intended as a one-stop reference to recent and foundational work in the LLM-agent research area and is explicitly maintained with timestamps showing frequent updates.
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