Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages
Published:Dec 9, 2025 16:31
•1 min read
•ArXiv
Analysis
This article likely discusses a post-training method to improve the performance of language models in lower-resource languages. The core idea seems to be aligning the model's output with the judgments of evaluators, even if those evaluators are not perfectly fluent themselves. This suggests a focus on practical application and robustness in challenging linguistic environments.
Key Takeaways
Reference
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