Conference Paper

Refining Adaptive Zeroth-Order Optimization at Ease Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu

Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao

WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Richard Yu

Workshop Paper

Zeroth-Order Optimization is Secretly Single-Step Policy Optimization Junbin Qiu, Zhengpeng Xie, Xiangda Yan, Yongjie Yang, Yao Shu Workshop on Tiny Titans: The next wave of On-Device Learning for Foundational Models

ReDit: Reward Dithering for Improved LLM Policy Optimization Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu Workshop on Models of Human Feedback for AI Alignment

Optimization and Robustness-Informed Membership Inference Attacks for LLMs **Zichen Song, Qixin Zhang, Ming Li, Yao Shu Workshop on Data in Generative Models (The Bad, the Ugly, and the Greats)