Authors: Yue Xin*, 'Wenyuan Wang*, Rui Pan, Ruida Wang, BingXu Meng, Renjie Pi, Shizhe Diao, Tong Zhang
ICLR 2026(Under Review)
A reinforcement learning-based framework for generating semantically aligned geometry image-caption pairs, creating the first dataset with full modality equivalence for geometric reasoning.
Authors: Wenyuan Wang, Yusong Zhao, Zihao Xu, Hengyi Wang, Shreya Venugopal, Desmond Lobo, Chengzhi Mao, Qi Xu, Zhigang Hua, Yan Xie, Bo Long, Shuang Yang, Hao Wang
IJCAI2025 Workshop / Submitted to TMLR
A causal Bayesian framework that clusters users and models residuals between predicted and true ratings to enhance recommendation accuracy.
Authors: Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
NAACL 2025 Main
A comprehensive benchmark for evaluating the long-context capabilities of multimodal large language models.
Authors: Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
ACM Computing Surveys
A comprehensive survey on continual learning approaches for large language models, covering methodologies, challenges, and future directions.
Authors: Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu
Neural Networks
A novel architecture that uses multiple tails to generate visual sequences of different lengths for efficient vision transformer inference.