Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
by Hongyuan Tao, Xinggang Wang, Lianghui Zhu, Yongkang Li, Yunchao Wei, Bin Feng, Shaoyu Chen, Qian Zhang, Chang Huang, Kai Yu
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
by Tian Xia, Minghao Liu, Yiqing Liang, Laixi Shi, Jiayun Wang
Semifactual Credit-Augmented Policy Optimization
by Junshu Pan, Zhizhang Fu, Shulin Huang, Yiran Ding, Zifan Cheng, Wenqi Shao, Qiaosheng Zhang, Yue Zhang
Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text
by Dulhan Jayalath, Oiwi Parker Jones
AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents
by Jiahao Zhang, Yeying Fan, Moitreya Chatterjee, Suhas Lohit, Bernhard Egger, Tim K. Marks, Anoop Cherian, Stephen Gould
Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?
by Razan El Mais, Ali Chehab, Ibrahim Issa, Razane Tajeddine
Turbo Harness: Instance-Adaptive Harness Optimization
by Tunyu Zhang, Hao Wang, Kai Xu, Dimitris N. Metaxas
Cogentic: Multi-Agent Orchestration for Automated Proof Discovery
by Yang Cai, Vineet Gupta, Yanchen Jiang, Christopher Liaw, Aranyak Mehta, Grigoris Velegkas, Di Wang
Scaling Laws for Looped Mixture of Experts
by Yanbei Chen, Anirudh Goyal, Raghuraman Krishnamoorthi
Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning
by Sachi Shome, William Eiers