Papers by Xutian Chen

1 papers
PRISM: Probabilistic Reward Model with Inherent Structural Modeling (2026.acl-long)

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Challenge: Existing evaluators compress diverse human judgments into a single scalar, leading to brittle alignment and reward hacking.
Approach: They propose a Gaussian-based reinterpretation of reward evaluation as a conditional distribution and a mixture of Gaussians to capture conflicting preference dimensions.
Outcome: The proposed model outperforms scalar baselines in accuracy and generalization.

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