When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
Findings show that self-assessment can support explicit, tunable answer-or-abstain decisions when an unsupported commitment is more costly than referral or review.
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Findings show that self-assessment can support explicit, tunable answer-or-abstain decisions when an unsupported commitment is more costly than referral or review.
This work introduces the Epistemic Honesty Quotient (EHQ), which reports three observable sub-scores across two operational axes (epistemic restraint and substantive-answer calibration), and constructs EHQ-3000, a 3,000-question benchmark spanning Fabricated Entity, Post-Cutoff Event, Hyper-Niche True, and Context-Cond...
RQEval is proposed, a unified multi-dimensional framework for measuring LLM reasoning quality from a behavioral perspective that operationalizes six theoretically grounded dimensions rooted in cognitive science and introduces deployment-aware aggregation, enabling context-specific model selection beyond accuracy-based...
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