Collections
Discover the best community collections!
Collections including paper arxiv:2210.03629
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 7 -
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 • 9 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 34 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 24
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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 • 35 -
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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ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 24 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 7 -
Preference Learning Unlocks LLMs' Psycho-Counseling Skills
Paper • 2502.19731 • Published • 6
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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 • 24 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 11