Papers
CARL: A Framework for Equivariant Image Registration
Hastings Greer, Lin Tian, François-Xavier Vialard et al.
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
Han Ji, Yuqi Feng, Jiahao Fan et al.
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
Nura Aljaafari, Danilo Carvalho, Andre Freitas
CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding
Johannes Kirmayr, Lukas Stappen, Phillip Schneider et al.
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling
Taneesh Gupta, Shivam Shandilya, Xuchao Zhang et al.
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving
Dongkun Zhang, Jiaming Liang, Ke Guo et al.
CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction
Zhefei Gong, Pengxiang Ding, Shangke Lyu et al.
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
Minghui Fang, Shengpeng Ji, Jialong Zuo et al.
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
Zhenpeng Su, Xing W, Zijia Lin et al.
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
Xiao-Wen Yang, Zhi Zhou, Haiming Wang et al.
CARVQ: Corrective Adaptor with Group Residual Vector Quantization for LLM Embedding Compression
Dayin Gou, Sanghyun Byun, Nilesh Malpeddi et al.
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
Minhyuk Lee, Hyekyung Yoon, MyungJoo Kang
CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design
Weitao Feng, Hang Zhou, Jing Liao et al.
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan et al.
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
Ziqiang Dang, Jianfang Li, Lin Liu
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
Yunxiang Yan, Tomohiro Sawada, Kartik Goyal
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
Yunxiang Yan, Tomohiro Sawada, Kartik Goyal
Cascading Large Language Models for Salient Event Graph Generation
Xingwei Tan, Yuxiang Zhou, Gabriele Pergola et al.
CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels
Ruining Deng, Yihe Yang, David J Pisapia et al.
Case2Code: Scalable Synthetic Data for Code Generation
Yunfan Shao, Linyang Li, Yichuan Ma et al.
Case-Based Decision-Theoretic Decoding with Quality Memories
Hiroyuki Deguchi, Masaaki Nagata
CASE: Large Scale Topic Exploitation for Decision Support Systems
Lorena Calvo Bartolomé, Jerónimo Arenas-García, David Pérez Fernández
CaseReportCollective: A Large-Scale LLM-Extracted Dataset for Structured Medical Case Reports
Xiao Yu Cindy Zhang, Melissa Fong, Wyeth Wasserman et al.
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
Mourad Heddaya, Kyle MacMillan, Hongyuan Mei et al.
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.