QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
A testbed called QVal is introduced for evaluating dense supervision signals in long-horizon LLM agent tasks by measuring how well method scores align with Q-values, enabling fair…
Hugging Face · Daily Papers
·Sergio Hernández-Gutiérrez, Matteo Merler
·
·▲ 9 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Sergio Hernández-Gutiérrez, Matteo Merler, Ilze Amanda Auzina, Joschka Strüber, Ameya Prabhu, Matthias Bethge
- 9 upvotes da comunidade
- Temas: LLM agents, dense supervision, Q-values, training-free, Q-aligned, supervision signals
Resumo
Resumo original (em inglês), extraído do paper:
A testbed called QVal is introduced for evaluating dense supervision signals in long-horizon LLM agent tasks by measuring how well method scores align with Q-values, enabling fair comparison of different supervision approaches without training.Onde ler
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