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Guangxin He · Shen Nie · Fengqi Zhu · Yuankang Zhao · Tianyi Bai · Ran Yan · Jie Fu · Chongxuan Li · Binhang Yuan
Jia-Nan Li · Jian Guan · Wei Wu · Chongxuan Li
Min Zhao · Hongzhou Zhu · Yingze Wang · Bokai Yan · Jintao Zhang · Guande He · Ling Yang · Chongxuan Li · Jun Zhu
Jingyang Ou · Jiaqi Han · Minkai Xu · Shaoxuan Xu · Jianwen Xie · Stefano Ermon · Yi Wu · Chongxuan Li
Xiangxin Zhou · Zichen Liu · Anya Sims · Haonan Wang · Tianyu Pang · Chongxuan Li · Liang Wang · Min Lin · Chao Du
Xiangxin Zhou · Zichen Liu · Haonan Wang · Chao Du · Min Lin · Chongxuan Li · Liang Wang · Tianyu Pang
Zebin You · Shen Nie · Xiaolu Zhang · JUN ZHOU · Zhiwu Lu · Ji-Rong Wen · Chongxuan Li
Fengqi Zhu · Rongzhen Wang · Shen Nie · Xiaolu Zhang · Chunwei Wu · JUN ZHOU · Yankai Lin · Ji-Rong Wen · Chongxuan Li
Masked diffusion language models present a promising paradigm for language modeling, yet the systematic theoretical analysis and comprehensive empirical validation of their alignment on general tasks remain relatively underexplored. In this paper, we identify the primary challenge for this proble...
Jiahao Zhao · Shaoxuan Xu · Zhongxiang Sun · Fengqi Zhu · Jingyang Ou · Yuling Shi · Chongxuan Li · Xiao Zhang · Jun Xu
Recently, Diffusion Large Language Models (dLLMs) have demonstrated unique efficiency advantages, enabled by their inherently parallel decoding mechanism and flexible generation paradigm. Meanwhile, despite the rapid advancement of Search Agents, their practical deployment is constrained by a fun...