Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
The Token-Energy Law of LLM Decode: Active Bytes and Realized Time Account for Joules per Token
by Chenxu Niu, Batuhan Sencer, Wei Zhang, Yong Chen
Evolving Semantic Indexes for Generative Retrieval
by Jinming Nian, Jyun-Yu Jiang, Henry Tsai, Yi Fang, Zhirong Liang
Continual Concept Personalization in Diffusion Models via Residual-Space Adaptation
by Yuzhi Liu, Enis Simsar, Giulia Lanzillotta, Thomas Hofmann
Text-to-Image Generative Modeling Without Language Pretraining
by Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, Ehsan Adeli, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Michael Poli
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
by Yu Zhou, Cheng-Fu Yang, Rui Sun, Di Wu, Sibo Peng, Mingyang Zhang, Zhen Yang, Ruiyi Zhang, Nanyun Peng, Zhe Gan, Kai-Wei Chang
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
by Shiao Xie, Siyu Chen, Jianwei Lv, Xiandong Li, Yujin Wang
Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning
by Sheng-Wei Zhang, Hsi-An Chen, Yan-Ting Liou, Chih-Hsuan Chen, Shih-Chen Tseng, Yu-Lun Liu
Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy
by Zekai Li, Jiayi Yu, Jinlu Zhang, Luyang Niu, Zekun Qi, Jun Zheng, Xuchuan Chen, Dairu Liu, Yintianrun Zhang, He Wang, Li Yi
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