2 papers
cs.CL2026
AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge
Karen Zhou, Chenhao Tan
Checklists have emerged as a popular approach for interpretable and fine-grained evaluation, particularly with LLM-as-a-Judge. Beyond evaluation, these structured criteria can serv…
cs.CL2025
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation
Cristina Garbacea, Chenhao Tan
Alignment algorithms are widely used to align large language models (LLMs) to human users based on preference annotations. Typically these (often divergent) preferences are aggrega…