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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 43 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 11 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 253
Collections
Discover the best community collections!
Collections including paper arxiv:2402.01030
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Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 66 -
Flow-OPD: On-Policy Distillation for Flow Matching Models
Paper • 2605.08063 • Published • 100 -
Normalizing Trajectory Models
Paper • 2605.08078 • Published • 13 -
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
Paper • 2605.08029 • Published • 13
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Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 198 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 38 -
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 • 12
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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 37 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 43 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 11 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 253
-
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 66 -
Flow-OPD: On-Policy Distillation for Flow Matching Models
Paper • 2605.08063 • Published • 100 -
Normalizing Trajectory Models
Paper • 2605.08078 • Published • 13 -
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
Paper • 2605.08029 • Published • 13
-
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 198 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 38 -
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 • 12