Papers2

#K-means clustering

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Pinyi Zhang, Ting-En Lin et al.Feb 12arXiv

This paper introduces P-GenRM, a personalized generative reward model that judges AI answers using a custom scorecard built just for each user and situation.

#personalized reward modeling#generative reward model#evaluation chain

CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval

Intermediate

Tsung-Hsiang Chou, Chen-Jui Yu et al.Jan 22arXiv

This paper introduces CGPT, a way to help computers find the right tables by building smarter mini-versions of tables and training with tough practice questions.

#table retrieval#synthetic query generation#cluster-guided partial tables