2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection
Chihiro Maru, Shoetsu Sato
Inspired by the success of large language models (LLMs) in natural language processing, recent research has explored the building of time series foundation models and applied them…
cs.CL2024
Rethinking Response Evaluation from Interlocutor's Eye for Open-Domain Dialogue Systems
Yuma Tsuta, Naoki Yoshinaga, Shoetsu Sato +1
Open-domain dialogue systems have started to engage in continuous conversations with humans. Those dialogue systems are required to be adjusted to the human interlocutor and evalua…
cs.CL2020★ 2 cited
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga +2
Neural network methods exhibit strong performance only in a few resource-rich domains. Practitioners, therefore, employ domain adaptation from resource-rich domains that are, in mo…