activity
20232026
most citedInstructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.AI2024

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization

Gihun Lee, Minchan Jeong, Yujin Kim +4

While learning to align Large Language Models (LLMs) with human preferences has shown remarkable success, aligning these models to meet the diverse user preferences presents furthe…

cs.CL2024

Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL

Yongjin Yang, Sihyeon Kim, SangMook Kim +3

Incorporating unanswerable questions into EHR QA systems is crucial for testing the trustworthiness of a system, as providing non-existent responses can mislead doctors in their di…