From Sequence to Structure: Relational Uncertainty Propagation for LLM Agents
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From Sequence to Structure: Relational Uncertainty Propagation for LLM Agents

RUPA models agent execution as a dependency graph to propagate uncertainty across long trajectories, improving failure detection and confidence estimation for LLM agents.

Hugging Face · Daily Papers ·Zhengzhao Ma. Boxi Cao, Yaojie Lu · ·▲ 6 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Zhengzhao Ma. Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun

  • 6 upvotes da comunidade
  • Temas: uncertainty quantification, LLM agents, trajectory-level UQ, directed trajectory graph, relational dependency, uncertainty propagation

Resumo

Resumo original (em inglês), extraído do paper:

RUPA models agent execution as a dependency graph to propagate uncertainty across long trajectories, improving failure detection and confidence estimation for LLM agents.

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