2 papers
cs.LG2025
Few-shot Personalization of LLMs with Mis-aligned Responses
Jaehyung Kim, Yiming Yang
As the diversity of users increases, the capability of providing personalized responses by large language models (LLMs) has become increasingly important. Existing approaches have…
cs.LG2024
Learning to Correct for QA Reasoning with Black-box LLMs
Jaehyung Kim, Dongyoung Kim, Yiming Yang
An open challenge in recent machine learning is about how to improve the reasoning capability of large language models (LLMs) in a black-box setting, i.e., without access to detail…