Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
by Yu Xu, Yuxin Zhang, Xiao Yang, Haotian Yang, Yizhi Wang, Xinwei Huang, Minxuan Lin, Angtian Wang, Chongyang Ma, Fan Tang
Multi-Agent Flow Matching with Decoupled Generative Guidance
by Ruoyu Lin, Magnus Egerstedt, Fabio Pasqualetti
FurE: Efficient Instance-Specific 3D Fur Reconstruction without Animal-Fur Datasets
by Srinjay Sarkar, Prakhar Kaushik, Soumava Paul, Alan Yuille
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning
by Yijia Fan, Ziqi Huang, Zhongang Cai, Yan Li, Zimo Wen, Wanqi Yin, Haiwen Diao, Ziwei Liu
PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
by Zimo Wang, Junkun Yuan, Angtian Wang, Haotian Yang, Canyu Zhang, Siyuan Yuan, Xingchang Huang, Bo Liu, Yizhi Wang, Yiding Yang, Chongyang Ma, Gordon Guocheng Qian
Unifying Distributional Training for One-Step Visual Generation
by Chi Zhang, Haoyang Shi, Yueyi Liu, Ruichuan An, Junkang Zhou, Chang Li, Xiuyuan Lu, Yichi Zhang, Bo Wang, Yuhang Wu, Sen Cui, Miao Liu
Neural Harmonic Measure Operator
by Jinjin He, Sinan Wang, Yuchen Sun, Bo Zhu
How to Loop MoE: Flatten the Experts, Untie the Attention
by Shouren Wang, Chuang Ma, Mohsen Hariri, Debargha Ganguly, Wang Yang, Xiaoqing Tong, Qianying Liu, Xiaotian Han, Vipin Chaudhary
KV-streams for Efficient Compaction in Agentic Reinforcement Learning
by Emiliano Penaloza, Dane Malenfant, Dheeraj Vattikonda, Roger Creus Castanyer, Siddarth Venkatraman, Abhay Puri, Jonathan Light, Matthew James Sargent, Augustine N. Mavor-Parker, Massimo Caccia, Lucas Caccia, Glen Berseth, Esmeralda S. Whitammer, Alessandro Sordoni, Minseon Kim, Marc-Alexandre Côté, Laurent Charlin, Guillaume Lajoie
Improving Test-Time Scaling with Adaptive Looped Transformers
by Yichen You, Tianyu Fu, Aosong Feng, Xingtai Lv, Xuefei Ning, Ning Ding, Yu Wang