Hwaran Lee

Instruction Quality Matters: Refining Instructions for Effective Preference Learning

This work introduces an instruction-refinement pipeline that selects weak instructions using reward signals and revises them with rubric-guided LLM feedback, improving preference data without discarding examples, and indicates that instruction refinement raises achievable response quality and complements response-centr...