Counsel: A Meta-Evaluation Dataset for Agentic Tasks
A large-scale dataset of human-metaevaluations of LLM critiques for agentic tasks is introduced to improve the calibration and reliability of automated evaluation methods.
Hugging Face · Daily Papers
·Sashank Pisupati, Henry Broomfield
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·▲ 3 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Sashank Pisupati, Henry Broomfield, Eujeong Choi, Antonia Calvi, Charlie Wang, Roman Engeler
- 3 upvotes da comunidade
- Temas: agentic systems, LLM-as-a-judge, meta-evaluation, trajectory evaluation, human alignment, inter-annotator agreement
Resumo
Resumo original (em inglês), extraído do paper:
A large-scale dataset of human-metaevaluations of LLM critiques for agentic tasks is introduced to improve the calibration and reliability of automated evaluation methods.
