Papers
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
Tao Zhang, Zhenhai Liu, Feipeng Qi et al.
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu et al.
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang, Zhihan Liu, Boyi Liu et al.
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
Jianqing Zhang, Yang Liu, Jie Fu et al.
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
Yuanhe Zhang, Fanghui Liu, Yudong Chen
EasyInv: Toward Fast and Better DDIM Inversion
Ziyue Zhang, Mingbao Lin, Shuicheng Yan et al.
Learning Curves of Stochastic Gradient Descent in Kernel Regression
Haihan Zhang, Weicheng Lin, Yuanshi Liu et al.
From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control
Chi Zhang, Ren Lianhai, Jingpu Cheng et al.
Adaptive Self-improvement LLM Agentic System for ML Library Development
Genghan Zhang, Weixin Liang, Olivia Hsu et al.
Multiobjective distribution matching
Xiaoyuan Zhang, Peijie Li, Yingying Yu et al.
Rhomboid Tiling for Geometric Graph Deep Learning
Yipeng Zhang, Longlong Li, Kelin Xia
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang, Yongxiang Li, Zijian Kan et al.
Online Differentially Private Conformal Prediction for Uncertainty Quantification
Qiangqiang Zhang, Ting Li, Xinwei Feng et al.
On Exact Bit-level Reversible Transformers Without Changing Architecture
Guoqiang Zhang, Jp Lewis, W. Bastiaan Kleijn
Joker: Joint Optimization Framework for Lightweight Kernel Machines
Junhong Zhang, Zhihui Lai
MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel et al.
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang, Goh Kai Kiat, Peixin Zhang et al.
Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
Guoqing Zhang, Shichao Kan, Fanghui Zhang et al.
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
Peiyan Zhang, Haibo Jin, Leyang Hu et al.
Minimalist Concept Erasure in Generative Models
Yang Zhang, Er Jin, Yanfei Dong et al.
TLLC: Transfer Learning-based Label Completion for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
Chi Zhang, Ziying Jia, George K. Atia et al.
High Dynamic Range Novel View Synthesis with Single Exposure
Kaixuan Zhang, Hu Wang, Minxian Li et al.
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
Jintao Zhang, Haofeng Huang, Pengle Zhang et al.