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Hao-Lan He

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#natural language process... Preprint Aug 2026

Learning When Not to Listen: Selective Anti-Interference Pretraining for Language Models

Language models can over-condition on irrelevant preceding text: predictions already supported by local context may still change when distant, unrelated prefix tokens are perturbed. This interference is especially consequential in long, packed, or distractor-heavy contexts, where useful evidence and irrelevant spans co...

Jin-Chang Zhu, Hao-Lan He, Yi-Cheng Ding et al. · 0 citations

#natural language process... May 2026

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing

ExACT, a supervision-allocation objective that assigns extra weight to long effective-context targets by inverse frequency within the long tail, supports a supervision-centric thesis: long-context adaptation depends on how strongly training supervises long-context predictions.

Jinchang Zhu, Jindong Li, Chengyu Zou et al. · arXiv.org · 4 citations