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Jason D. Hartline

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#artificial intelligence Preprint Sep 2026

Diagnosing and Improving Probabilistic Reasoning in Large Language Models

It is found that targeting one component of probabilistic reasoning redistributes decision loss, improving the target without necessarily transferring to others, and that jointly targeting belief formation and decision-making improves both but hinges on matched formats between training and evaluation.

Hua-Man Sun, Di Wang, Jason D. Hartline et al. · 0 citations
Preprint Aug 2026

Sample Complexity of Peer Prediction

Peer prediction seeks to incentivize agents to truthfully report an observed signal by rewarding joint sets of reports without observing a ground truth. Following the generalization of information-theoretic mutual information introduced in Kong and Schoenebeck (2019), we call a function of a joint distribution over sig...

Abdellah Aznag, Robin Bowers, Rachel Cummings et al. · 2 citations
Review Aug 2026

Scoring Rules! Statistical and Strategic Alignment for Text Evaluation Metrics

It is found that strong human-rating correlation does not imply strategic alignment: LLM-as-a-Judge achieves high correlation but is susceptible to manipulation, and mutual-information-based metrics substantially improve manipulation robustness.

Shengwei Xu, Yuxuan Lu, Yi-Fan Wu et al. · 0 citations

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