Author

Zi-Tai Wang

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Preprint Oct 2026

UtilityBench: Measuring Language Model Utility When Errors Have Different Costs

As language models are increasingly deployed in real-world scenarios with important outcomes, the impact of their mistakes often extends far beyond what correctness can capture. In domains like medicine, a single error can lead to serious consequences and put patient safety at risk. However, mainstream evaluation proto...

Qi-Feng Lei, Zhi-Yong Yang, Zi-Tai Wang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Compare to Correct: Pairwise-Guided Logit Adjustment for LLM Test-Time Scaling

Sampling-based test-time scaling enhances LLM reasoning by aggregating multiple reasoning paths for the same query. Existing methods use answer frequencies or path confidence to compute candidate scores, which do not explicitly characterize comparisons between competing answers. Inspired by the Condorcet principle in s...

Cong Hua, Qian-Qian Xu, Zi-Tai Wang et al. · 0 citations