Communicative Agents for Software Development
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2307.07924
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Published
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2
Agents
Collection of resources related to Agents.
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Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 29 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 11 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 3 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 62 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 4 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 170 -
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
Paper • 2401.07339 • Published -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 38 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 68 -
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Paper • 2307.12856 • Published • 34 -
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents
Paper • 2403.08715 • Published • 19 -
Emergent Agentic Transformer from Chain of Hindsight Experience
Paper • 2305.16554 • Published -
Improving Agent Interactions in Virtual Environments with Language Models
Paper • 2402.05440 • Published • 1 -
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents
Paper • 2308.03427 • Published • 13 -
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Paper • 2401.06201 • Published • 2 -
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Paper • 2309.17452 • Published • 1 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 40 -
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
Paper • 2310.09343 • Published • 2 -
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 17 -
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
Paper • 2312.14878 • Published • 11 -
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency
Paper • 2309.17382 • Published • 4 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 46 -
LLM Harmony: Multi-Agent Communication for Problem Solving
Paper • 2401.01312 • Published -
Understanding the planning of LLM agents: A survey
Paper • 2402.02716 • Published • 1 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 102 -
Divide and Conquer for Large Language Models Reasoning
Paper • 2401.05190 • Published -
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Paper • 2401.10480 • Published -
Inferring the Goals of Communicating Agents from Actions and Instructions
Paper • 2306.16207 • Published -
TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation
Paper • 2402.10178 • Published -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 61 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 12 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 46 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 99 -
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Paper • 2404.02893 • Published • 19 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 41 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 57 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 22 -
Best Practices and Lessons Learned on Synthetic Data for Language Models
Paper • 2404.07503 • Published • 25 -
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Paper • 2404.07987 • Published • 45 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 40 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 49 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 29 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15 -
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 6 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 11 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Autonomous Tree-search Ability of Large Language Models
Paper • 2310.10686 • Published • 2 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 33 -
Adapting LLM Agents Through Communication
Paper • 2310.01444 • Published • 3 -
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 14 -
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn
Paper • 2306.08640 • Published • 26 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 4 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 32 -
A Multimodal Automated Interpretability Agent
Paper • 2404.14394 • Published • 19 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 38 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 60 -
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Paper • 2404.17521 • Published • 12 -
LEGENT: Open Platform for Embodied Agents
Paper • 2404.18243 • Published • 17 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 86