no code implementations • EMNLP (NLP4ConvAI) 2021 • Ao Guo, Atsumoto Ohashi, Ryu Hirai, Yuya Chiba, Yuiko Tsunomori, Ryuichiro Higashinaka
Endowing a task-oriented dialogue system with adaptiveness to user personality can greatly help improve the performance of a dialogue task.
no code implementations • 21 Dec 2023 • Ryu Hirai, Shinya Iizuka, Haruhisa Iseno, Ao Guo, Jingjing Jiang, Atsumoto Ohashi, Ryuichiro Higashinaka
At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take more natural turns based on user utterance texts.
no code implementations • 10 Nov 2022 • Zhidong Tang, Zewei Wang, Yumeng Yuan, Chang He, Xin Luo, Ao Guo, Renhe Chen, Yongqi Hu, Longfei Yang, Chengwei Cao, Linlin Liu, Liujiang Yu, Ganbing Shang, Yongfeng Cao, Shoumian Chen, Yuhang Zhao, Shaojian Hu, Xufeng Kou
Furthermore, by incorporating the Cryo-CMOS compact model into the process design kit (PDK), the cryogenic 4 Kb SRAM, 5-bit flash ADC and 8-bit current steering DAC are designed, and their performance is readily investigated and optimized on the EDA-compatible platform, hence laying a solid foundation for large-scale cryogenic IC design.
no code implementations • 18 Oct 2022 • Ryu Hirai, Atsumoto Ohashi, Ao Guo, Hideki Shiroma, Xulin Zhou, Yukihiko Tone, Shinya Iizuka, Ryuichiro Higashinaka
After the preliminary round of the competition, we found that the low variation in training examples for the NLU and failed recommendation due to the policy used were probably the main reasons for the limited performance of the system.