Author

Yikang Liu

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#artificial intelligence Preprint Oct 2026

A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese

This study analyzes the predictive power of LM-derived, token-level surprisal on Mandarin Chinese reading times. We first propose the Shortest Matching Sequence (SMS), an alignment scheme that maps between the word segmentation assumed by eye-tracking corpora and the LMs'subword tokenization, as the two tokenizations o...

Hon-Gao Zhu, Mu-Di Xu, Yikang Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Group-Marginalized Self-Rewarding RL Drives Zero-Label Self-Evolving

GMAE aggregates reward realizations across possible contexts into a response-level distribution and estimates expected advantages, which exhibits stable learning, low extra cost, and good applicability across training datasets and RL backbones.

Yiming Wang, Yikang Liu, Qing-Yuan Tian et al. · 0 citations