Author

Xiyan Fu

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#natural language process... Preprint Oct 2026

To Reason but Not to Stop: Understanding and Recovering Pruned Large Reasoning Models

Weight pruning can degrade the accuracy of large reasoning models (LRMs), yet it remains unclear whether it damages reasoning itself. We find that much of this degradation stems from a failure to stop rather than to reason. As sparsity increases, pruned LRMs increasingly fail to terminate within the token budget, often...

Minh-Anh Nguyen, Nguyen T. Ha Lan, Xiyan Fu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter

Reinforcement learning with verifiable rewards (RLVR) for multi-turn agents relies on sparse terminal rewards that say little about individual steps. Within-group step comparisons depend on reliable state matching and sufficiently diverse sampled outcomes, while direct step scoring may require costly external evaluator...

Xu-Yan Ye, Xiyan Fu, Sheng-Da Fan et al. · 0 citations