LLM-Agent-Paper-List is an open-source research repository that aggregates and organizes academic publications related to large language model–based agents. The project functions as a curated companion resource to a comprehensive survey paper examining the rise and potential of LLM-driven agent systems. Within the repository, research papers are categorized according to key aspects of agent architecture, including components such as reasoning systems, perception mechanisms, and action modules. The project also organizes literature into thematic sections that explore different application scenarios, including single-agent systems, collaborative multi-agent environments, and human-agent interaction. By structuring the literature in this way, the repository helps researchers navigate a rapidly growing body of work related to autonomous AI systems built on language models. It is frequently updated to incorporate newly published papers and emerging developments in the field.
Features
- Curated list of academic papers focused on LLM-based agent research
- Structured organization of literature based on agent architecture concepts
- Coverage of single-agent, multi-agent, and human-agent collaboration systems
- Compilation of references from a comprehensive academic survey on AI agents
- Regular updates reflecting new publications and emerging research trends
- Useful resource for literature reviews and research exploration