Zhang, Xinchen

7 publications

NeurIPS 2025 HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui

ICLR 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation Xinchen Zhang, Ling Yang, Guohao Li, YaQi Cai, Xie Jiake, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui

NeurIPS 2025 MMaDA: Multimodal Large Diffusion Language Models Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang

ICLRW 2025 On the Unreasonable Effectiveness of Last-Layer Retraining John Collins Hill, Tyler LaBonte, Xinchen Zhang, Vidya Muthukumar

NeurIPS 2025 PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-Zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yeyun Gong, Yelong Shen, Yujiu Yang

NeurIPS 2024 RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui

NeurIPS 2024 The Group Robustness Is in the Details: Revisiting Finetuning Under Spurious Correlations Tyler LaBonte, John C. Hill, Xinchen Zhang, Vidya Muthukumar, Abhishek Kumar