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awesome-language-agents
List of language agents based on paper "Cognitive Architectures for Language Agents"
https://github.com/ysymyth/awesome-language-agents
Last synced: about 10 hours ago
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šØCoALA Overview
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Papers
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
- SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
- PromptChainer: Chaining Large Language Model Prompts through Visual Programming
- ScienceWorld: Is your Agent Smarter than a 5th Grader?
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
- ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks
- Mind's Eye: Grounded Language Model Reasoning through Simulation
- ReAct: Synergizing Reasoning and Acting in Language Models
- Large Language Models Are Human-Level Prompt Engineers
- LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
- Chain of Hindsight Aligns Language Models with Feedback
- Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
- Toolformer: Language Models Can Teach Themselves to Use Tools
- Foundation Models for Decision Making: Problems, Methods, and Opportunities
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
- PaLM-E: An Embodied Multimodal Language Model
- Reflexion: Language Agents with Verbal Reinforcement Learning
- Self-Refine: Iterative Refinement with Self-Feedback
- Self-planning Code Generation with Large Language Models
- Generative Agents: Interactive Simulacra of Human Behavior
- Emergent autonomous scientific research capabilities of large language models
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
- REFINER: Reasoning Feedback on Intermediate Representations
- Teaching Large Language Models to Self-Debug
- GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
- Augmenting Autotelic Agents with Large Language Models
- ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
- Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
- Improving Factuality and Reasoning in Language Models through Multiagent Debate
- Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
- SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
- Mind2Web: Towards a Generalist Agent for the Web
- RestGPT: Connecting Large Language Models with Real-World RESTful APIs
- ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
- A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
- S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
- Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
- WebArena: A Realistic Web Environment for Building Autonomous Agents
- AgentBench: Evaluating LLMs as Agents
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
- CGMI: Configurable General Multi-Agent Interaction Framework
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
- Cumulative Reasoning with Large Language Models
- ExpeL: LLM Agents Are Experiential Learners
- GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
- Gentopia: A Collaborative Platform for Tool-Augmented LLMs
- MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
- ProAgent: Building Proactive Cooperative AI with Large Language Models
- Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
- SAPIEN: Affective Virtual Agents Powered by Large Language Models
- Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis
- ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
- Identifying the Risks of LM Agents with an LM-Emulated Sandbox
- Suspicion Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
- LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning.
- TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
- Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
- Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
- Donāt Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
- AdaPlanner: Adaptive Planning from Feedback with Language Models
- ToolQA: A Dataset for LLM Question Answering with External Tools
- Empowering Biomedical Discovery with AI Agents
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