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Yan-Chao Li

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Preprint Aug 2026

Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts

Training-free feature forecasting accelerates diffusion sampling by predicting features at skipped denoising steps. Recent work has mainly focused on designing stronger forecasters. Yet forecast error varies sharply across steps, and open-loop caches trust the forecast in full at every skipped step. This fixed trust is...

Yan-Chao Li, Jiaqing Xie, Ben Gao et al. · 0 citations
Preprint Aug 2026

Reachability Is Not Realization: Tracing the Sources of LLM Benchmark Gains

This work establishes a question-level audit under fixed budgets, temperatures, and answer formats, and asks why reachable answers sometimes fail to appear, and test whether inference-time layer routing can expand reachability.

Yan-Chao Li, Wan-Hao Liu, Jia-Qing Xie et al. · 0 citations

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