Shuibai Zhang

According to our database, Shuibai Zhang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Continuous Diffusion Scales Competitively with Discrete Diffusion for Language.

Zhihan Yang, Wei Guo, Shuibai Zhang, Subham Sekhar Sahoo, Yongxin Chen, Arash Vahdat, Morteza Mardani, John Thickstun

CoRR, May, 2026

The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break.

Xinyu Jessica Wang, Haoyue Bai, Yiyou Sun, Haorui Wang, Shuibai Zhang, Wenjie Hu, Mya Schroder, Bilge Mutlu, Dawn Song, Robert D. Nowak

CoRR, April, 2026

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models.

Shuibai Zhang, Caspian Zhuang, Chihan Cui, Zhihan Yang, Fred Zhangzhi Peng, Yanxin Zhang, Haoyue Bai, Zack Jia, Yang Zhou, Guanhua Chen, Ming Liu

CoRR, April, 2026

2025

Corrective Diffusion Language Models.

Shuibai Zhang, Fred Zhangzhi Peng, Yiheng Zhang, Jin Pan, Grigorios G. Chrysos

CoRR, December, 2025

dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning.

Yingzi Ma, Yulong Cao, Wenhao Ding, Shuibai Zhang, Yan Wang, Boris Ivanovic, Ming Jiang, Marco Pavone, Chaowei Xiao

CoRR, December, 2025

ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning.

Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee

CoRR, December, 2025

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs.

Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee

CoRR, October, 2025

Planner Aware Path Learning in Diffusion Language Models Training.

Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Anru R. Zhang, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong

CoRR, September, 2025

VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data.

Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping.

Yue Yang, Shuibai Zhang, Wenqi Shao, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo

CoRR, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.

Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023