Papers
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
Enhui Ma, Lijun Zhou, Tao Tang et al.
Correcting and Quantifying Systematic Errors in 3D Box Annotations for Autonomous Driving
Alexandre Justo Miro, Ludvig af Klinteberg, Bogdan Timus et al.
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
Junjun Pan, Yixin Liu, Chuan Zhou et al.
Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression
Changhao Peng, Yuqi Ye, Wei Gao
CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
Zhuoyuan Yu, Yuxing Long, Zihan Yang et al.
Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs
Tingchao Fu, Wenkai Wang, Fanxiao Li et al.
Correspondence Coverage Matters for Multi-Modal Dataset Distillation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models
Tomoyuki Jinno, Kazuki Hayashi, Yusuke Sakai et al.
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
Luke Moffett, Frank Willard, Maximillian Machado et al.
COSMOS: Coherent SuperGaussian Modeling with Spatial Priors for Sparse-View 3D Splatting
Chaeyoung Jeong, Kwangsu Kim
COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval
Boci Peng, Xiao Liu, Boren Hu et al.
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
Amirhossein Dadashzadeh, Parsa Esmati, Majid Mirmehdi
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
Jiayu Liu, Cheng Qian, Zhaochen Su et al.
Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
Yijia Fan, Jusheng Zhang, Kaitong Cai et al.
Cost-Free Neutrality for the River Method
Michelle Döring, Jannes Malanowski, Stefan Neubert
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
Shigeki Kusaka, Keita Saito, Mikoto Kudo et al.
CoSToM: Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models
Mengfan Li, Xuanhua Shi, Yang Deng
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Yiming Zhao, Jiwei Tang, Shimin Di et al.
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
Xuesong Jia, Yuanjie Shi, Ziquan Liu et al.
CoT-VLNBench: A Benchmark for Visual Chain-of-Thought Reasoning in Vision-Language-Navigation Robots
Xiao Zhao, Chang Liu, Ruiteng Ji et al.
Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda
Vivek Sharma, Shweta Jain, Mohammad Shokri et al.
Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
Xin Guo, Zhiheng Xi, Yiwen Ding et al.
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
Yuefei Chen, Vivek K. Singh, Jing Ma et al.