Research Achievements
Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
Rei Taniguchi, Yuyang Dong, Makoto Onizuka, and Chuan Xiao
ACL Findings
7, 2026
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, and Jianbin Qin
Annual Meeting of the Association for Computational Linguistics (ACL)
7, 2026
LLM-Based Social Simulations Require a Boundary
Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, and Chuan Xiao
ICML 2026
7, 2026
Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
Kejing Lu, Zhenpeng Pan, Jianbin Qin, Yoshiharu Ishikawa, and Chuan Xiao
ICML 2026
7, 2026
Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
Adam Nohejl, Xuanxin Wu, Yusuke Ide, Maria Angelica Riera Machin, Yi-Ning Chang, Hitomi Yanaka
Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (Oral) Best Paper Award
7, 2026
Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
Hui Huang, Xuanxin Wu, Muyun Yang, Yuki Arase
ACL 2026 Workshop on Evaluating Evaluations (EvalEval)
7, 2026
VPS: Rethinking OLTP Database Performance Evaluation through Transactional Value
Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao
IEEE International Conference on Data Engineering (ICDE)
5, 2026
Probabilistic Kernel Function for Fast Angle Testing
Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
International Conference on Learning Representations (ICLR)
4, 2026
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
International Conference on Learning Representations (ICLR)
4, 2026
Toward Principled Flexible Scaling for Self-Gated Neural Activation
Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG
International Conference on Learning Representations (ICLR)
4, 2026
Multi-Order Hypergraph Stochastic Block Model
Kazuki Nakajima, Yuya Sasaki, Takeaki Uno, Masaki Aida
International School and Conference on Network Science (NetSciX)
2, 2026
Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
Masahiro Masahiro, Yuya Sasaki
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI)
2026
No award data available at the moment.