2 papers
cs.IR2026
When Does Supervised Fine-Tuning Reduce Instruction Sensitivity?
Jaekeol Choi
Large language models can exhibit substantial performance variation across alternative formulations of the same task instruction, yet it remains unclear how conventional task-speci…
cs.IR2024
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
Jaekeol Choi
Relevance evaluation of a query and a passage is essential in Information Retrieval (IR). Recently, numerous studies have been conducted on tasks related to relevance judgment usin…