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Author

Jinlong Yang

2 papers indexed here

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Conference Open access 2026

HW-TSC’s Submission to the WMT 2026 General Machine Translation Track

HW-TSC-Agent is proposed, a multi-stage translation agent framework that integrates translation model fine-tuning, dual-model candidate generation, and instruction-aware translation refinement into a unified pipeline.

Yu He, Xiao-Qing Lan, Dai-Meng Wei et al. · 0 citations

Cross-Preference Learning for Sentence-Level and Context-Aware Machine Translation

Cross-Preference Learning (CPL) is proposed, a preference-based training framework that explicitly captures the complementary benefits of sentence-level and context-aware MT, by integrating both intra- and cross-condition preferences into the preference optimization objective.

Ying Li, Xinglin Lyu, Junhui Li et al. · 2 citations

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