A repo lists papers related to LLM based agent. Includes

• methods of role playing, memory mechanism and game playing
• methods of feedback or reflection
• methods of multi-agent collaboration
• benchmarks and surveys of the field
• environments or platforms

For more comprehensive reading, we also recommend other paper lists:

• zjunlp/LLMAgentPapers: Must-read Papers on Large Language Model Agents.
• teacherpeterpan/self-correction-llm-papers: This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
• Paitesanshi/LLM-Agent-Survey: A Survey on LLM-based Autonomous Agents.

• Survey

  • [2023/08/22] A Survey on Large Language Model based Autonomous Agents | [paper] | [code]

  • [2023/06/27] Next Steps for Human-Centered Generative AI: A Technical Perspective | [paper] | [code]

  • [2023/04/06] Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions | [paper] | [code]

• Role Playing

  • [2023/08/14] ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate | [paper] | [code]

  • [2023/08/10] LLM As DBA | [paper] | [code]

  • [2023/08/07] TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents | [paper] | [code]

  • [2023/07/24] To Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations | [paper] | [code]

  • [2023/06/28] Inferring the Goals of Communicating Agents from Actions and Instructions | [paper] | [code]

  • [2023/05/27] SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks | [paper] | [code]

  • [2023/05/26] Training Socially Aligned Language Models in Simulated Human Society | [paper] | [code]

  • [2023/05/25] Role-Play with Large Language Models | [paper] | [code]

  • [2023/05/17] Tree of Thoughts: Deliberate Problem Solving with Large Language Models | [paper] | [code]

  • [2023/05/09] TidyBot: Personalized Robot Assistance with Large Language Models | [paper] | [code]

  • [2023/05/02] The Role of Summarization in Generative Agents: A Preliminary Perspective | [paper] | [code]

  • [2023/04/26] Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models | [paper] | [code]

  • [2023/04/24] ChatLLM Network: More brains, More intelligence | [paper] | [code]

  • [2023/04/15] Self-collaboration Code Generation via ChatGPT | [paper] | [code]

  • [2023/04/07] Generative Agents: Interactive Simulacra of Human Behavior | [paper] | [code]

  • [2023/03/31] CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society | [paper] | [code]

  • [2022/12/08] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models | [paper] | [code]

• Multi-Agent Collaboration

  • [2023/08/21] AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents | [paper] | [code]

  • [2023/08/03] InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent | [paper] | [code]

  • [2023/08/01] MetaGPT: Meta Programming for Multi-Agent Collaborative Framework | [paper] | [code]

  • [2023/07/16] Communicative Agents for Software Development | [paper] | [code]

  • [2023/07/11] Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration | [paper] | [code]

  • [2023/07/05] Building Cooperative Embodied Agents Modularly with Large Language Models | [paper] | [code]

  • [2023/06/05] Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents | [paper] | [code]

• Memory Mechanism

  • [2023/06/06] ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory | [paper] | [code]

  • [2023/05/31] Monotonic Location Attention for Length Generalization | [paper] | [code]

  • [2023/05/26] Randomized Positional Encodings Boost Length Generalization of Transformers | [paper] | [code]

  • [2023/05/25] Landmark Attention: Random-Access Infinite Context Length for Transformers | [paper] | [code]

  • [2023/05/24] Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration | [paper] | [code]

  • [2023/05/24] Adapting Language Models to Compress Contexts | [paper] | [code]

  • [2023/05/23] RET-LLM: Towards a General Read-Write Memory for Large Language Models | [paper] | [code]

  • [2023/05/22] RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text | [paper] | [code]

  • [2023/05/19] ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings | [paper] | [code]

  • [2023/05/17] MemoryBank: Enhancing Large Language Models with Long-Term Memory | [paper] | [code]

  • [2023/05/15] Small Models are Valuable Plug-ins for Large Language Models | [paper] | [code]

  • [2023/05/02] Unlimiformer: Long-Range Transformers with Unlimited Length Input | [paper] | [code]

  • [2023/05/01] Learning to Reason and Memorize with Self-Notes | [paper] | [code]

  • [2023/04/27] ChatLog: Recording and Analyzing ChatGPT Across Time | [paper] | [code]

  • [2023/04/26] Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System | [paper] | [code]

  • [2023/04/21] Emergent and Predictable Memorization in Large Language Models | [paper] | [code]

  • [2023/03/17] CoLT5: Faster Long-Range Transformers with Conditional Computation | [paper] | [code]

• Game Playing

  • [2023/05/31] Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models | [paper] | [code]

  • [2023/05/26] Playing repeated games with Large Language Models | [paper] | [code]

  • [2023/05/25] Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory | [paper] | [code]

  • [2023/05/25] Voyager: An Open-Ended Embodied Agent with Large Language Models | [paper] | [code]

  • [2023/05/17] Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback | [paper] | [code]

  • [2023/05/08] Knowledge-enhanced Agents for Interactive Text Games | [paper] | [code]

  • [2023/03/29] Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks | [paper] | [code]

• Game Platform
  • [2023/03/14] CB2: Collaborative Natural Language Interaction Research Platform | [paper] | [code]

• Feedback&Reflection

  • [2023/08/01] SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning | [paper] | [code]

  • [2023/07/27] PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback | [paper] | [code]

  • [2023/05/30] Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate | [paper] | [code]

  • [2023/05/26] AdaPlanner: Adaptive Planning from Feedback with Language Models | [paper] | [code]

  • [2023/05/22] Making Language Models Better Tool Learners with Execution Feedback | [paper] | [code]

  • [2023/04/21] Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback | [paper] | [code]

  • [2023/04/11] Teaching Large Language Models to Self-Debug | [paper] | [code]

  • [2023/03/30] Self-Refine: Iterative Refinement with Self-Feedback | [paper] | [code]

• Benchmark&Evaluation

  • [2023/08/11] BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents | [paper] | [code]

  • [2023/08/07] AgentBench: Evaluating LLMs as Agents | [paper] | [code]

  • [2023/07/31] HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution | [paper] | [code]

  • [2023/06/09] Mind2Web: Towards a Generalist Agent for the Web | [paper] | [code]