Author

Y. Zhang

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#machine learning Preprint Oct 2026

How Much Can Language Models Gain from Test-Time Computation?

How much can test-time computation improve a language model, and at what cost? Test-time scaling is widely proposed as a substitute for larger models, but existing comparisons mostly evaluate one domain at a time and rarely charge selection to the budget. We introduce SELF-POT, a benchmark and evaluation framework that...

Bang Yang, Jing-Yuan Li, Jia-Jun Fan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

The Error You See Is Not the Error You Made: Progression-aware Reasoning Origin for Reasoning Error Localization

Progression-aware Reasoning Origin is proposed, a training-free framework for first-error localization that jointly models incoming support from the preceding context and outgoing compatibility with subsequent reasoning, selectively refines regions where these signals disagree, and finally performs detector-conditioned...

Yi-Guo Wang, Zi-Yuan Yang, Ying-Jian Zou et al. · 0 citations