STAR: Sentence Translation Alignment Rate for Document-to-Document Machine Translation

arXiv:2608.27161 · cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/1078966865/STAR

Terminology

• Alignment — 77× in this paper · explained in 1 episode
• Hallucination — 21× in this paper · explained in 3 episodes
• Commentary — 13× in this paper · explained in 2 episodes
• Fidelity — 12× in this paper · explained in 2 episodes
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Sentence Translation Alignment Rate — 9× in this paper
• GRPO — 6× in this paper · explained in 6 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• LLM-as-a-Judge — 5× in this paper · explained in 3 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Alignment Methods — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Alignment Pre-training — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
• Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation
• R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
• Cross-Preference Learning for Sentence-Level and Context-Aware Machine Translation
• Preliminary WMT24 Ranking of General MT Systems and LLMs
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
• Adapting Large Language Models for Document-Level Machine Translation
• The Llama 3 Herd of Models
• ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
• Group Sequence Policy Optimization

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