Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
by Shiao Xie, Siyu Chen, Jianwei Lv, Xiandong Li, Yujin Wang
WeAct: Dynamic Weight Switching as Agent Actions
by Rui Shi, Xunjian Yin, Jiacheng Sang, Zichuan Liu, Shuyan Zhou
Rethinking the design space of Vanilla Pixel Diffusion Transformers
by Soumik Mukhopadhyay, Long Mai, Abhinav Shrivastava, Aniruddha Mahapatra
Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation
by Rama AlHamidi, Rasul Khanbayov, Erchin Serpedin, Hasan Kurban
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
by Tianmeng Hu, Biao Luo, Ke Li
Steering beyond Language: Improving Multilingual Training-Free Text Embeddings via Paired-Residual Subspace Removal
by Ailiang Lin, Zhuoyun Li, Yusong Wang, Keyu Mao, Kotaro Funakoshi, Manabu Okumura
FuTransformer: FP8 prefill and INT4 decode for Llama-style inference on Hopper
by Wei Wang
The Collection of a Real-World, Large-Scale Dataset for Automated Skill Evaluation in Central Line Dressing Change
by Ummey Tanin, Shannan K. Hamlin, Hsin-Mei Chen, Peizhu (Pam) Qian
SoftCache: Adaptive Step Size Caching for Diffusion Transformers
by Shimon Malnick, Nadav Orenstein, Ohad Fried, Shai Avidan
PathFM: Fast Generative Forecasting of Multivariate Trajectories
by Jiachen Yao, Xiyuan Zhang, Annan Yu, Boran Han, Abdul Fatir Ansari, Shuai Zhang, Michael Bohlke-Schneider, Bernie Wang