4 citations · 6 across the 11 of their papers we have counts for
3 papers · 2 filters
RefineBench: Evaluating Refinement Capability of Language Models via Checklists
Young-Jun Lee, Seungone Kim, Byung-Kwan Lee +6
Can language models (LMs) self-refine their own responses? This question is increasingly relevant as a wide range of real-world user interactions involve refinement requests. Howev…
LANGALIGN: Enhancing Non-English Language Models via Cross-Lingual Embedding Alignment
Jong Myoung Kim, Young-Jun Lee, Ho-Jin Choi +1
While Large Language Models have gained attention, many service developers still rely on embedding-based models due to practical constraints. In such cases, the quality of fine-tun…
PAD: Towards Efficient Data Generation for Transfer Learning Using Phrase Alignment
Jong Myoung Kim, Young-Jun_Lee, Ho-Jin Choi +1
Transfer learning leverages the abundance of English data to address the scarcity of resources in modeling non-English languages, such as Korean. In this study, we explore the pote…