Author

Shimin Tao

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#natural language process... Mar 2026

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. · arXiv.org · 2 citations

#natural language process... Preprint May 2026

Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning

This paper proposes a simple two-stage training framework that enables the mutually boosting of implicit (layer-wise) and explicit (token-wise) reasoning capabilities, and provides evidence for the mutually boosting between implicit and explicit reasoning.

R. Dang, X. Wang, Zhejian Lai et al. · 0 citations