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cs.CL2026
Retrieve What Helps, Only When It Helps: Agentic Reinforcement Learning for Selective Retrieval-Augmented Machine Translation
Shijun Li, Yang Liu, Najmeh Sadoughi +5
Retrieving external knowledge can improve large language model (LLM) translation by providing supplementary information such as idiom interpretations and terminology. However, exis…
cs.CL2026
Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle Translation
Haibo Jin, Xinjie Li, Najmeh Sadoughi +4
Long-form subtitle translation requires reasoning over discourse and cultural context spanning episodes or entire series, while maintaining consistent terminology and style. Existi…
cs.CL2025
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation
Guofeng Cui, Pichao Wang, Yang Liu +3
Large language models (LLMs) have shown great potential in natural language processing tasks, but their application to machine translation (MT) remains challenging due to pretraini…