Author

Weiqiao Shan

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#artificial intelligence Preprint Nov 2026

The Right Source Is Not Enough: Understanding History Interference in Speech-LLM Memory

This work investigates why irrelevant historical audio changes answers even when the queried event remains represented, and shows that source-role information can influence a decision without exclusively controlling which historical values affect it.

Hong-Jin Song, Weiqiao Shan, Run-Wu Shi et al. · 0 citations

#natural language process... Preprint Sep 2026

Rethinking Length-Based Training: Batch Composition and Loss Normalization in Speech Token Language Models

This work provides a systematic analysis protocol for studying length-based training in variable-length speech models through matched comparisons, and results are consistent with a link between chunk-length variation and token weighting.

Hong-Jin Song, Run-Wu Shi, Weiqiao Shan et al. · 0 citations