Papers
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
Zi-Jian Cheng, Ziyi Jia, Zhi Zhou et al.
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
Kun Cheng, Xiao He, Lei Yu et al.
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
Yixin Cheng, Hongcheng Guo, Yangming Li et al.
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
Chuanqi Cheng, Jian Guan, Wei Wu et al.
Tool Unlearning for Tool-Augmented LLMs
Jiali Cheng, Hadi Amiri
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Rongyu Chen, Li’An Zhuo, Linlin Yang et al.
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
Shiqi Chen, Tongyao Zhu, Ruochen Zhou et al.
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
Xiwen Chen, Wenhui Zhu, Peijie Qiu et al.
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li et al.
On the Convergence of Continuous Single-timescale Actor-critic
Xuyang Chen, Lin Zhao
Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence
Zhaowei Chen, Borui Zhao, Yuchen Ge et al.
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Shiqi Chen, Jinghan Zhang, Tongyao Zhu et al.
Gaussian Mixture Flow Matching Models
Hansheng Chen, Kai Zhang, Hao Tan et al.
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
Yiding Chen, Yiyi Zhang, Owen Oertell et al.
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, Yuan Zhang, Yin Liu et al.
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
Kejia Chen, Jiawen Zhang, Jiacong Hu et al.
Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
Mingcai Chen, Baoming Zhang, Zongbo Han et al.
Core Context Aware Transformers for Long Context Language Modeling
Yaofo Chen, Zeng You, Shuhai Zhang et al.
Hierarchical Graph Tokenization for Molecule-Language Alignment
Yongqiang Chen, Quanming Yao, Juzheng Zhang et al.
Learning Configurations for Data-Driven Multi-Objective Optimization
Zhiyang Chen, Hailong Yao, Xia Yin
Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization
Zixiang Chen, Greg Yang, Qingyue Zhao et al.
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi Chen, Yahong Yang, Yang Xiang et al.
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
Yang Chen, Long Yang, Yitao Liang et al.
Discriminative Policy Optimization for Token-Level Reward Models
Hongzhan Chen, Tao Yang, Shiping Gao et al.
An All-Atom Generative Model for Designing Protein Complexes
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou et al.