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2020 – today
- 2024
[i4]Rem Hida, Junki Ohmura, Toshiyuki Sekiya:
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation. CoRR abs/2406.16356 (2024)- [i3]Rem Hida, Masahiro Kaneko, Naoaki Okazaki:
Social Bias Evaluation for Large Language Models Requires Prompt Variations. CoRR abs/2407.03129 (2024) - 2022
- [c2]Rem Hida, Masaki Hamada, Chie Kamada, Emiru Tsunoo, Toshiyuki Sekiya, Toshiyuki Kumakura:
Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End. ICASSP 2022: 7132-7136 - [i2]Rem Hida, Masaki Hamada, Chie Kamada, Emiru Tsunoo, Toshiyuki Sekiya, Toshiyuki Kumakura:
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end. CoRR abs/2201.09427 (2022)
2010 – 2019
- 2018
- [c1]Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. ACL (2) 2018: 516-520 - [i1]Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections. CoRR abs/1805.02203 (2018)
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