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Research questionHow can LLM translation preserve meaning while meeting syllable-level timing limits for subtitling and dubbing?LLM translations can preserve semantic content while producing outputs that exceed fixed subtitle or spoken-duration limits. The acceptable output length also varies with linguistic density across languages.
AI
Evaluation & Benchmarks
Natural Language Processing
Reinforcement Learning
Latest papersRecent research connected to this question, newest first.HOMURA: Taming the Sand-Glass for Time-Constrained LLM Translation via Reinforcement LearningThe source concerns multilingual LLM translation under syllable-level duration constraints for subtitling and dubbing. It introduces the Sand-Glass benchmark and evaluates Homura, a constrained reinforcement-learning framework; the reported evidence covers length control and semantic adequacy on that benchmark.research paper · Sep 3, 2026
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