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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 33 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 37 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 4 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 187
Collections
Discover the best community collections!
Collections including paper arxiv:2210.03629
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
Large Language Models Cannot Self-Correct Reasoning Yet
Paper • 2310.01798 • Published • 34 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13
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Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published -
Mapping Natural Language Commands to Web Elements
Paper • 1808.09132 • Published
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 4 -
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 • 37 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 15
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 4 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 4 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 33 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 15
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The Rise and Potential of Large Language Model Based Agents: A Survey
Paper • 2309.07864 • Published • 7 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 15 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9