Author

Haoxuan Li

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#artificial intelligence Preprint Oct 2026

Rubric Judgments Lack Uncertainty: Conformal Weighting for LLM Evaluation

Rubric-based evaluation is widely used to assess large language model (LLM) outputs by decomposing quality into multiple criteria and assigning each a binary judgment from an LLM verifier. However, judgment certainty varies substantially across criteria. Existing methods uniformly aggregate these judgments into a final...

Li-Cheng Pan, Hao Yang, Hao-Xuan Li et al. · 0 citations

#natural language process... Preprint Jul 2026

Rubrics on Trial: Evolving Rubrics from a Single Query via Synthetic Pairwise Evidence

Rubrics provide structured, fine-grained signals for training and evaluating large language models (LLMs). Yet reliable query-specific rubrics are difficult to construct. Existing approaches often derive supervision from human-written rubrics, preference data, or sampled responses. Direct query-to-rubric generation avo...

Hao Yang, Licheng Pan, Xiaoxi Li et al. · 0 citations