Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation 事件

Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation arXiv:2606.06428v1 Announce Type: new Abstract: Prior work has shown that large language models (LLMs) can translate unseen or low-resource languages by undergoing continued training or even by encoding a grammar book in their context. However, both methods typically overfit specific languages, with limited zero-shot transfer at test time. To translate extremely low-resource languages at scale, we argue that LLMs