Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ko, Byeongil"'
This study investigates language models' generative capabilities in tool-use dialogs. We categorize the models' outputs in tool-use dialogs into four distinct types: Tool Call, Answer Completion, Slot Question, and Relevance Detection, which serve as
Externí odkaz:
http://arxiv.org/abs/2411.14054
Autor:
Lee, Dongyub, Ko, Byeongil, Shin, Myeong Cheol, Whang, Taesun, Lee, Daniel, Kim, Eun Hwa, Kim, EungGyun, Jo, Jaechoon
Detecting disfluencies in spontaneous speech is an important preprocessing step in natural language processing and speech recognition applications. Existing works for disfluency detection have focused on designing a single objective only for disfluen
Externí odkaz:
http://arxiv.org/abs/2011.04512
Autor:
Lee, Dongyub, Shin, Myeongcheol, Whang, Taesun, Cho, Seungwoo, Ko, Byeongil, Lee, Daniel, Kim, Eunggyun, Jo, Jaechoon
Text summarization refers to the process that generates a shorter form of text from the source document preserving salient information. Many existing works for text summarization are generally evaluated by using recall-oriented understudy for gisting
Externí odkaz:
http://arxiv.org/abs/2005.03510
Autor:
Crego, Josep, Kim, Jungi, Klein, Guillaume, Rebollo, Anabel, Yang, Kathy, Senellart, Jean, Akhanov, Egor, Brunelle, Patrice, Coquard, Aurelien, Deng, Yongchao, Enoue, Satoshi, Geiss, Chiyo, Johanson, Joshua, Khalsa, Ardas, Khiari, Raoum, Ko, Byeongil, Kobus, Catherine, Lorieux, Jean, Martins, Leidiana, Nguyen, Dang-Chuan, Priori, Alexandra, Riccardi, Thomas, Segal, Natalia, Servan, Christophe, Tiquet, Cyril, Wang, Bo, Yang, Jin, Zhang, Dakun, Zhou, Jing, Zoldan, Peter
Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by several entities announcing roll-out of NMT engines to replace their existin
Externí odkaz:
http://arxiv.org/abs/1610.05540