Papers
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
Nay Myat Min, Long H. Pham, Yige Li et al.
CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
Xiaokun Feng, Dailing Zhang, Shiyu Hu et al.
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
Ziming Zhu, Yu Zhu, Jiahao Chen et al.
CTBench: A Library and Benchmark for Certified Training
Yuhao Mao, Stefan Balauca, Martin Vechev
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao, Mahyar Najibi, Sachin Mehta
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty
Harry Zhang, Luca Carlone
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
Curse of High Dimensionality Issue in Transformer for Long Context Modeling
Shuhai Zhang, Zeng You, Yaofo Chen et al.
CursorCore: Assist Programming through Aligning Anything
Hao Jiang, Qi Liu, Rui Li et al.
Curvature-aware Graph Attention for PDEs on Manifolds
Yunfeng Liao, Jiawen Guan, Xiucheng Li
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman, Omri Azencot
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover, Geoffrey J. Gordon, Christos Faloutsos
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Yilun Kuang, Noah Amsel, Sanae Lotfi et al.
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang et al.
CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities
Yuxuan Zhu, Antony Kellermann, Dylan Bowman et al.
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
Changyi He, Yifu Ding, Jinyang Guo et al.
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
Jinda Lu, Junkang Wu, Jinghan Li et al.
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
Yifan Wang, Hourun Li, Ling Yue et al.
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Nguyen Tai, Ben Bogin et al.
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh et al.
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
Xichen Guo, Feng Xie, Yan Zeng et al.
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
Gen Li, Yao Wan, Hongyu Zhang et al.
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
Daoyuan Chen, Haibin Wang, Yilun Huang et al.
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing