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Dou-Dou Zhou

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Preprint Sep 2026

Human-Anchored Inference for Ranking New Models with Large Language Model Judges

Human pairwise comparisons provide a reference for evaluating large language models (LLMs), but collecting sufficient judgments for each new release is costly and time-consuming. LLM judges offer a scalable alternative, although their comparisons may differ systematically from human preferences and across judges. We st...

Xin Zhou, Si-Nian Zhang, Zhan-Yan Yang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts

This work introduces Counterfactual Harness Search and Evolution (CHASE), which casts harness evolution as constraint generation over valid counterfactual benchmarks and formalizes an ideal shortcut-neutralized benchmark $B_0$ and establishes theoretical guarantees linking finite counterfactual archives to $B_0$ and ch...

Guo-Jun Zhu, Xu Huang, Peng Yin et al. · 0 citations
Preprint Aug 2026

Conditional Evaluation of Language Models with Cheap Auxiliary Signals

This work empirically evaluates the primary performance-profile estimator on MATH-500, ScienceQA, MMLU, WinoGrande, HellaSwag, TruthfulQA, GSM8K, and ARC and proves calibration-free identification, unbiasedness for grouped profiles, local oracle optimality within centered linear augmentations, and first-order adaptivit...

Zhi Zhang, Lingfeng Lyu, Yue Kang et al. · 0 citations

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