News
5月 21, 2026
A work by our lab member(s) got accepted at Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (Oral)!
Author(s): Adam Nohejl, Xuanxin Wu, Yusuke Ide, Maria Angelica Riera Machin, Yi-Ning Chang, Hitomi Yanaka
Title: Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
Author(s): Adam Nohejl, Xuanxin Wu, Yusuke Ide, Maria Angelica Riera Machin, Yi-Ning Chang, Hitomi Yanaka
Title: Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
5月 21, 2026
A work by our lab member(s) got accepted at ACL 2026 Workshop on Evaluating Evaluations (EvalEval)!
Author(s): Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase
Title: Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
Author(s): Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase
Title: Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
5月 21, 2026
A work by our lab member(s) got accepted at ACM Transactions on Intelligent Systems and Technology (ACM TIST)!
Author(s): Xuanxin Wu, Yuki Arase
Title: An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
Author(s): Xuanxin Wu, Yuki Arase
Title: An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
5月 1, 2026
A work by our lab member(s) got accepted at International Conference on Machine Learning (ICML)!
Author(s): Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, and Chuan Xiao
Title: LLM-Based Social Simulations Require a Boundary
Author(s): Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, and Chuan Xiao
Title: LLM-Based Social Simulations Require a Boundary
5月 1, 2026
A work by our lab member(s) got accepted at International Conference on Machine Learning (ICML)!
Author(s): Kejing Lu, Zhenpeng Pan, Jianbin Qin, Yoshiharu Ishikawa, and Chuan Xiao
Title: Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
Author(s): Kejing Lu, Zhenpeng Pan, Jianbin Qin, Yoshiharu Ishikawa, and Chuan Xiao
Title: Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
4月 27, 2026
We plan to hold our next lab tour (in Japanese) at 2 p.m on May. 29, 2026. If you are interested, please fill out the Google Form.
4月 27, 2026
A work by our lab member(s) got accepted at IEEE International Conference on Data Engineering (ICDE)!
Author(s): Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao
Title: VPS: Rethinking OLTP Database Performance Evaluation through Transactional Value
Author(s): Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao
Title: VPS: Rethinking OLTP Database Performance Evaluation through Transactional Value
4月 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG
Title: Toward Principled Flexible Scaling for Self-Gated Neural Activation
Author(s): Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG
Title: Toward Principled Flexible Scaling for Self-Gated Neural Activation
4月 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Title: ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
Author(s): Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Title: ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
4月 27, 2026
A work by our lab member(s) got accepted at International Conference on Learning Representations (ICLR)!
Author(s): Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Title: Probabilistic Kernel Function for Fast Angle Testing
Author(s): Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Title: Probabilistic Kernel Function for Fast Angle Testing
4月 7, 2026
A work by our lab member(s) got accepted at DBSJ Japanese Journal!
Author(s): 谷口 令, 肖 川, 董 于洋, 小山田 昌史, 鬼塚 真
Title: Attentionスコアの分布類似性を用いた大規模言語モデルの動作異効率化および省メモリ化
Author(s): 谷口 令, 肖 川, 董 于洋, 小山田 昌史, 鬼塚 真
Title: Attentionスコアの分布類似性を用いた大規模言語モデルの動作異効率化および省メモリ化
4月 7, 2026
A work by our lab member(s) got accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE)!
Author(s): Shuai Liu, Jianbin Qin, Tianyu Wang, Yuxing Chen, Anqun Pan, Rui Mao, Yuxuan Qiu, Makoto Onizuka, Chuan Xiao
Title: AKV: Agile Read-Efficiently Key-Value OLTP Engine for Non-Volatile Memory
Author(s): Shuai Liu, Jianbin Qin, Tianyu Wang, Yuxing Chen, Anqun Pan, Rui Mao, Yuxuan Qiu, Makoto Onizuka, Chuan Xiao
Title: AKV: Agile Read-Efficiently Key-Value OLTP Engine for Non-Volatile Memory
4月 7, 2026
A work by our lab member(s) got accepted at Annual Meeting of the Association for Computational Linguistics (ACL)!
Author(s): Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, and Jianbin Qin
Title: GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
Author(s): Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, and Jianbin Qin
Title: GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
4月 7, 2026
A work by our lab member(s) got accepted at ACL Findings!
Author(s): Rei Taniguchi, Yuyang Dong, Makoto Onizuka, and Chuan Xiao
Title: Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
Author(s): Rei Taniguchi, Yuyang Dong, Makoto Onizuka, and Chuan Xiao
Title: Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
3月 25, 2026
Seiji Maekawa PhD (alumnus) won the Kasami Award.
2月 16, 2026
We plan to hold our next lab tour (in Japanese) at 2 p.m on Mar. 27, 2026. If you are interested, please fill out the Google Form.
12月 1, 2025
A work by our lab members got accepted at Legal Knowledge and Information Systems (JURIX)!
Authors: Yuntao Kong, Ye Xiong, Shuyuan Zheng, Ken Satoh
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
Authors: Yuntao Kong, Ye Xiong, Shuyuan Zheng, Ken Satoh
Title: AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
12月 1, 2025
A work by our lab members got accepted at Neural Information Processing Systems (NeurIPS)!
Authors: Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Title: Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Authors: Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Title: Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
12月 1, 2025
A work by our lab members got accepted at Proceedings of the VLDB Endowment (PVLDB)!
Authors: Marcelo Arenas, Enrico Franconi, Janik Hammerer, Olaf Hartig, Katja Hose, Laura Koesten, George Konstantinidis, Leonid Libkin, Wim Martens, Yuya Sasaki, Stefanie Scherzinger, Katherine Thornton, Hsiang-Yun Wu
Title: Exploring Exploratory Querying
Authors: Marcelo Arenas, Enrico Franconi, Janik Hammerer, Olaf Hartig, Katja Hose, Laura Koesten, George Konstantinidis, Leonid Libkin, Wim Martens, Yuya Sasaki, Stefanie Scherzinger, Katherine Thornton, Hsiang-Yun Wu
Title: Exploring Exploratory Querying
12月 1, 2025
A work by our lab members got accepted at Proceedings of the VLDB Endowment (PVLDB)!
Authors: Konstantinos Skitsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras
Title: Mix & Match: Subgraph Matching for Absolute Coverage
Authors: Konstantinos Skitsas, Yuya Sasaki, Davide Mottin, Panagiotis Karras
Title: Mix & Match: Subgraph Matching for Absolute Coverage