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cs.CL2025
MTQ-Eval: Multilingual Text Quality Evaluation for Language Models
Rhitabrat Pokharel, Ameeta Agrawal
The use of large language models (LLMs) for evaluating outputs is becoming an increasingly effective and scalable approach. However, it remains uncertain whether this capability ex…
cs.CL2025
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences
Rhitabrat Pokharel, Yufei Tao, Ameeta Agrawal
Preference optimization is a critical post-training technique used to align large language models (LLMs) with human preferences, typically by fine-tuning on ranked response pairs.…