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cs.CL2026
TransClean: A Benchmark for Detecting and Extracting Clean Translations from Large Language Model Outputs
Shenbin Qian, Yves Scherrer
Large language models (LLMs) are increasingly used for machine translation, yet their outputs often contain additional text beyond the translation itself, such as language labels,…
cs.CL2026
Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation
Shenbin Qian, Yves Scherrer
Large Language Models (LLMs) have recently demonstrated strong performance in machine translation (MT). However, most prior work focuses on improving or benchmarking translation qu…