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cs.CL2026
HOMURA: Taming the Sand-Glass for Time-Constrained LLM Translation via Reinforcement Learning
Ziang Cui, Mengran Yu, Tianjiao Li +4
Large Language Models (LLMs) have achieved remarkable strides in multilingual translation but are hindered by a systemic cross-lingual verbosity bias, rendering them unsuitable for…
cs.CL2025
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation
Tianjiao Li, Mengran Yu, Chenyu Shi +6
Large language models (LLMs) possess strong multilingual capabilities, and combining Reinforcement Learning from Human Feedback (RLHF) with translation tasks has shown great potent…
cs.CL2024
Navigating the OverKill in Large Language Models
Chenyu Shi, Xiao Wang, Qiming Ge +7
Large language models are meticulously aligned to be both helpful and harmless. However, recent research points to a potential overkill which means models may refuse to answer beni…