- Agent Instructs Large Language Models to be General Zero-Shot Reasoners (arXiv 2023) [paper] [code]
- OKR-Agent: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation (arXiv 2023) [paper]
- MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models (arXiv 2024) [paper] [code]
- Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration (NAACL 2024) [paper] [code]
- XAgent：An Autonomous LLM Agent for Complex Task Solving () [paper] [code]
- Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4 (arXiv 2023) [paper] [code]
- ReAct: SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS (ICLR 2023) [paper] [code]
- Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (ACL 2023) [paper] [code]
- AotoAct: Automatic Agent Learning from Scratch via Self-Planning (** arXiv 2024**) [paper] [code]
- Generative Agents: Interactive Simulacra of Human Behavior (UIST 2023) [paper] [code]
- Toolformer: Language Models Can Teach Themselves to Use Tools (NeurIPS 2023) [paper] [code]
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face (NeurIPS 2023) [paper] [code]
- SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series (ICLR 2024) [paper] [code]
- Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control (ICLR 2024) [paper] [code]
- DiLu: A Knowledge-Driven Approach to Autonomous Driving With Large Language Models (ICLR 2024) [paper]
- LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration (arXiv 2024) [paper] [code]
- On Generative Agents in Recommendation (arXiv 2023) [paper]
- Self-Reflection in LLM Agents: Effects on Problem-Solving Performance (arXiv 2024) [paper] [code]
- Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations (arXiv 2024) [paper] [code]
- Empowering Conversational Agents using Semantic In-Context Learning (BEA 2023) [paper] [code]
- GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning (arXiv 2024) [paper]
- TORA: A TOOL-INTEGRATED REASONING AGENT FOR MATHEMATICAL PROBLEM SOLVING (ICLR 2024) [paper] [code]
- CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models (arXiv 2024) [paper] [code]
- Reflexion: Language Agents with Verbal Reinforcement Learning (NeurIPS 2023) [paper] [code]
- FireAct : TOWARD LANGUAGE AGENT FINE-TUNING (arXiv 2023) [paper] [code]
- AgentTuning: Enabling Generalized Agent Abilities for LLMs (arXiv 2023) [paper] [code]
- Towards Conversational Diagnostic AI (arXiv 2024) [paper] [code]
- LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models (arXiv 2024) [paper] [code]
- Multi-Agent Consensus Seeking via Large Language Models (arXiv 2023) [paper] [code]
- Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration (arXiv 2023) [paper] [code]
- Chain-of-Experts: When LLMs Meet Complex Operations Research Problems (ICLR 2024) [paper] [code]
- Theory of Mind for Multi-Agent Collaboration via Large Language Models (emnlp 2023) [paper]
- Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration (arXiv 2023) [paper] [code]
- CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society (NeurIPS 2023) [paper] [code]
- Experiential Co-Learning of Software-Developing Agents (arXiv 2023) [paper]
- SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems (arXiv 2024) [paper] [code]
- Generative Agents: Interactive Simulacra of Human Behavior (UIST 2023) [paper] [code]
- ProAgent: Building Proactive Cooperative Agents with Large Language Models (AAAI 2024) [paper] [code]
- Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach (arxiv 2023) [paper]
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate (arxiv 2023) [paper] [code]
- Multi-Agent Software Development through Cross-Team Collaboration (arxiv 2024) [paper] [code]
- Scaling Large-Language-Model-based Multi-Agent Collaboration (arxiv 2024) [paper] [code]
- MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge (EML 2024) [paper] [code]
- Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View (arXiv 2023) [paper] [code]
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents (ICLR 2024) [paper] [code]
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (ICLR 2024) [paper] [code]
- Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization (arXiv 2023) [paper] [code]
- Playing repeated games with Large Language Models (arXiv 2023) [paper]
- Communicative Agents for Software Development (ICLR 2024) [paper] [code]
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors (ICLR 2024) [paper] [code]
- ChemCrow: Augmenting large-language models with chemistry tools (NeurIPS 2023) [paper]] [code]
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (arXiv 2023) [paper] [code]
- AutoAgents: A Framework for Automatic Agent Generation (arXiv 2024) [paper] [code]
- Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents (arXiv 2024) [paper]
- Player-Driven Emergence in LLM-Driven Game Narrative (arXiv 2024) [paper]
- Enhancing the Efficiency and Accuracy of Underlying Asset Reviews in Structured Finance: The Application of Multi-agent Framework (arXiv 2024) [paper] [code]
- MapCoder: Multi-Agent Code Generation for Competitive Problem Solving (arXiv 2024) [paper] [code]
- Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration (NAACL 2024) [paper] [code]
- AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems (WWW 2024) [paper] [code]（不存在）
- On Generative Agents in Recommendation (SIGIR 2024) [paper] [code]
- LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models (arXiv 2024) [paper] [code]
- MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration (arXiv 2023) [paper] [code]
- LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments (arXiv 2024) [paper] [code]
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents (ICLR 2024) [paper] [code]
- ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents (arXiv 2024) [paper] [code]
- Large Language Models as Rational Players in Competitive Economics Game (arXiv 2024) [paper]
- AgentBench: Evaluating LLMs as Agents (ICLR 2024) [paper] [code]
- MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework (ICLR 2024) [paper] [code]
- LARGE LANGUAGE MODEL EVALUATION VIA MULTI AI AGENTS: PRELIMINARY RESULTS (ICLR 2024) [paper]
- MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents (arXiv 2024) [paper] [code]
- Understanding the planning of LLM agents: A survey (arXiv 2024) [paper]
- A Survey on Large Language Model based Autonomous Agents (Front. Comput. Sci. 2024) [paper] [code]
- AGENT AI: SURVEYING THE HORIZONS OF MULTIMODAL INTERACTION (arXiv 2024) [paper]
- The Rise and Potential of Large Language Model Based Agents: A Survey (ICML 2024) [paper] [code]
- Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives (arXiv 2023) [paper]
- LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions (arXiv 2024) [paper]
- Large Language Model based Multi-Agents: A Survey of Progress and Challenges (arXiv 2024) [paper] [code]