Associate Professor, McGill University
2 papers at NeurIPS 2025
In this position paper we investigate the validity and reliability of LLMs as judges and highlight challenges inherent to their use and existing practices in NLG evaluation.
We show that interval estimation based methods produce better distilled embedders in multi-teacher distillation settings compared to MSE or Cosine base methods.
