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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 34 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 38 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 6 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 189
Collections
Discover the best community collections!
Collections including paper arxiv:2402.01030
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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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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 57 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 17 -
The Rise and Potential of Large Language Model Based Agents: A Survey
Paper • 2309.07864 • Published • 7
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 253 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 50 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 90 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 84