Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
EDV is a three-stage framework that uses multiple heterogeneous agents to collaboratively construct reliable experiences for LLM agents, preventing self-confirmatory errors through…
Hugging Face · Daily Papers
·Shiding Zhu, Yudi Qi
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·▲ 8 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Shiding Zhu, Yudi Qi, Yajie Wang, Jiaze Li, Chao Song, Yaorui Shi
- 8 upvotes da comunidade
- Temas: large language model agents, self-confirmatory errors, execute-distill-verify, heterogeneous agents, collaborative construction, experience learning
Resumo
Resumo original (em inglês), extraído do paper:
EDV is a three-stage framework that uses multiple heterogeneous agents to collaboratively construct reliable experiences for LLM agents, preventing self-confirmatory errors through execute-distill-verify processes.