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Nicola Cancedda

ICLR 2026×2ACL 2026可解释性推理社会与人本安全评测与基准
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0 一作 · 3 篇 · ICLR 2026 / ACL 2026

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2026 顶会论文

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作者位次 #6/6ACL 2026Poster· ACL Industry Track

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation

Bhaktipriya Radharapu · Eshika Saxena · Kenneth Li · Chenxi Whitehouse · Adina Williams · Nicola Cancedda

摘要

As LLM-based judges become integral to industry applications, obtaining well-calibrated uncertainty estimates efficiently has become critical for production deployment. However, existing techniques, such as verbalized confidence and multi-generation methods, are often either poorly calibrated or...

推理可解释性评测与基准OpenReview 项目页

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