Author

Seungyoon Lee

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Preprint Aug 2026

Language Chain in Alignment: Cross-lingual Ranking Preference Optimization

This paper proposes Cross-lingual Ranking Preference Optimization~ (CRPO), a novel framework that leverages robust preference knowledge from English to facilitate preference alignment in the target language, thereby enhancing language adaptation and output quality.

Seungyoon Lee, Minhyuk Kim, Jungseob Lee et al. · 0 citations

Preprint Jul 2026

LAMAR: An Open Language-Aware Multilingual Alignment Reranker

This work releases LAMAR, a language aware multilingual cross encoder trained to account for both semantic relevance and language coherence, which achieves the best performance overall and across all languages examined individually on general multilingual reranking benchmarks.

Seongtae Hong, Youngjoon Jang, Jungseob Lee et al. · 0 citations

Preprint Jul 2026

Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models

This work shows that training a strong instruction-tuned reasoning model on its own answer-conditioned chains sharply lowers its verifiable-reasoning accuracy, and generates answer-blind data, because no correctness filter can see this damage in the data.

Jungseob Lee, Seungyoon Lee, Suhyune Son et al. · 0 citations