Position: Significant impact of numerical precision in scientific machine learning
Youngwoo Cho · Jaekak Yoo · Soyoung Yang · Dong-Joon Yi · Seung Lee · Mun Jeong · Jaegul Choo
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Youngwoo Cho · Jaekak Yoo · Soyoung Yang · Dong-Joon Yi · Seung Lee · Mun Jeong · Jaegul Choo
Kyudan Jung · Jihwan Kim · Soyoon Kim · Jeonghoon Kim · Jaegul Choo · Cheonbok Park
As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-time, natural human-computer interaction.However, the development of such models is constrained by the scarcity of high-quality, multi-speaker conv...
Kyudan Jung · Hojun Cho · Jooyeol Yun · Soyoung Yang · Jaehyeok Jang · Jaegul Choo
Editing presentation slides is a frequent yet tedious task, ranging from creative layout design to repetitive text maintenance. While recent GUI-based agents powered by Multimodal LLMs (MLLMs) excel at tasks requiring visual perception, such as spatial layout adjustments, they often incur high co...
Taehee Kim · Seungbin Yang · Jihwan Kim · Jaegul Choo
Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such as text-to-SQL. Existing table retrieval approaches select a pre-determined set of k tables with the highest similarity to the query. However, the n...
Youngwoo Cho · Semin Joung · Jaemin Seo · Young-chul Ghim · Jaegul Choo
Minho Park · Kinam Kim · Junha Hyung · Hyojin Jang · Hoiyeong Jin · Jooyeol Yun · Hojoon Lee · Jaegul Choo
Minho Park · Taewoong Kang · Jooyeol Yun · Sungwon Hwang · Jaegul Choo
Chung Park · Taesan Kim · Hyeongjun Yun · Dongjoon Hong · Junui Hong · Kijung Park · MinCheol Cho · Minsung Choi · Jihwan Seok · Jaegul Choo