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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…
cs.LG2024★ 3 cited
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…