CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks
Calibrated verifier telemetry enhances LLM agents in knowledge-intensive question answering by providing confidence scores and grounding verification, reducing both over-retrieval…
Hugging Face · Daily Papers
·Ashwin Vinod, Ying Ding
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·▲ 2 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Ashwin Vinod, Ying Ding, Elias Stengel-Eskin
- 2 upvotes da comunidade
- Temas: LLM agents, knowledge intensive question answering, retrieval, reasoning, calibrated self-confidence score, grounding verifier score
Resumo
Resumo original (em inglês), extraído do paper:
Calibrated verifier telemetry enhances LLM agents in knowledge-intensive question answering by providing confidence scores and grounding verification, reducing both over-retrieval and unsupported answers.
