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Home/Authors/Gabrielle Kaili-May Liu

Gabrielle Kaili-May Liu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

NLP×2AI×2

Frequent co-authors

Arman Cohan2×
Avi Caciularu1×
Gal Yona1×
Idan Szpektor1×
Areeb Gani1×
Asal Meskin1×

Research Timeline

2026
Quantifying Faithful Confidence Expression in Large Reasoning Models

The paper introduces a novel framework to quantify faithful confidence expression (FC) in Large Reasoning Models (LRMs), finding that FC remains a significant and challenging reliability target for these models.

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

This paper introduces two novel mechanisms, reinforcement learning with metacognitive feedback (RLMF) and metacognitive data selection, to enhance language model metacognition and achieve faithful calibration.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIEmpiricalRecentJun 30, 2026

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

Gabrielle Kaili-May Liu, Avi Caciularu, Gal Yona, Idan Szpektor +1 more

This paper introduces two novel mechanisms, reinforcement learning with metacognitive feedback (RLMF) and metacognitive data selection, to enhance language model metacognition and achieve faithful cal…

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cs.CLcs.AIRecent
Jun 2, 2026

Quantifying Faithful Confidence Expression in Large Reasoning Models

Areeb Gani, Asal Meskin, Gabrielle Kaili-May Liu, Arman Cohan

The paper introduces a novel framework to quantify faithful confidence expression (FC) in Large Reasoning Models (LRMs), finding that FC remains a significant and challenging reliability target for th…

View →