Publication Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity Di Zhang, Xun Wu, Shaohan Huang, Yudong Wang, Hanyong Shao, Yingbo Hao, Zewen Chi, Li Dong, Ting Song, Yan Xia, Zhifang Sui, Furu Wei March 2026
Publication SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity Hanyong Shao, Yingbo Hao, Ting Song, Yan Xia, Di Zhang, Shaohan Huang, Xun Wu, Songcheng Xu, Le Xu, Li Dong, Zewen Chi, Yinxue Zou, Furu Wei March 2026
Publication Latent Policy Steering through One-Step Flow Policies Hokyun Im, Andrey Kolobov, Jianlong Fu, Youngwoon Lee March 2026
Publication Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces Karan Gupta, Pranav Vajreshwari, Yash Pandya, Raghav Magazine, Akshay Nambi, Ahmed Awadallah ICLR Agents in the Wild | March 2026
Publication Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts Sanae Lotfi, Lucas Caccia, Alessandro Sordoni, Jordan Ash, Miroslav Dudík March 2026
Publication Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use Aradhye Agarwal, Gurdit Siyan, Yash Pandya, Joykirat Singh, Akshay Nambi, Ahmed Awadallah ICLR Agents in the Wild: Safety, Security, and Beyond | March 2026
Publication Contextualized Privacy Defense for LLM Agents Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang March 2026 Preprint
Publication Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Mingrui Xu, Weiqing Liu, Jiang Bian March 2026 Github
Publication Learning to Draft: Adaptive Speculative Decoding with Reinforcement Learning Jiebin Zhang, Zhenghan Yu, Liang Wang, Nan Yang, Eugene J. Yu, Zheng Li, Yifan Song, Dawei Zhu, Xingxing Zhang, Furu Wei, Sujian Li March 2026
Publication CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework Yuexi Du, Jinglu Wang, Shujie Liu, N. Dvornek, Yan Lu March 2026