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Author

Ali Şenol

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#artificial intelligence Preprint Sep 2026

Do Large Language Models Know What They Don't Know II? A Fully Behavioral, Non-Cognitive Measure of Epistemic Honesty

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...

Ali Şenol, H. Bernard, Huan Liu · 2 citations
#artificial intelligence Open access May 2026

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework

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...

Ali Şenol, Garima Agrawal, Huan Liu · 2 citations

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