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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 • 42 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 8 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 207
Collections
Discover the best community collections!
Collections including paper arxiv:2401.00812
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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 132 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 34 -
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 • 10
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DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 34 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 132 -
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 • 10
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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 132 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 34 -
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 • 10 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27
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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 • 10 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 34 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 207 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 132
-
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 132 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 34 -
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 • 10