Papers
172,654 papers found
CareCom: Generative Image Composition with Calibrated Reference Features
Jiaxuan Chen, Bo Zhang, Qingdong He et al.
CareerPathKG: Knowledge Graph Integrated Framework for Career Intelligence
Ngoc-Quang Le, Duc Duong Hoang, Mai Vu Tran et al.
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
Yuqin Dai, Shuo Yang, Guoqing Wang et al.
CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions
Kondapally Madhavi, K Naveen Kumar, C Krishna Mohan et al.
CART: Compositional AutoRegressive Transformer for Image Generation
Siddharth Roheda, Rohit Chowdhury, Aniruddha Bala et al.
CASE – Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
Gaifan Zhang, Yi Zhou, Danushka Bollegala
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
Yaohua Zha, Xue Yuerong, Chunlin Fan et al.
CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices
Chengcheng Wang, Haowen He, Liang Zhao et al.
CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent
Aryan Jain, Pushpendu Ghosh, Promod Yenigalla
CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores
Jin Bai, Gregory D. Hager
CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading
Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky
CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal
Pu Wang, Shuning Sun, Jialang Lu et al.
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
Guanyuan Yu, Yijun Chen, Liang Xu et al.
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
Shan Cong, Chao Yu, Xiangyuan Lan
Catalogues as Data: Interpretable NLP Pipelines for Ottoman-Turkish Bibliographies
Mark Hill, Ayse Bulus, Paul Spence
Catastrophic Forgetting in Kolmogorov-Arnold Networks
Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou et al.
CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation
Rui Ke, Jiahui Xu, Shenghao Yang et al.
Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents
Long Nguyen, Duc Nguyen, Quan Bui et al.
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
Changjian Xu, Yong Wang, Ruizheng Huang et al.
CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction
Sirui Wang, Zhou Guan, Bingxi Zhao et al.
CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding
Yifan Zhuang, Calvin Huang, Zepeng Yu et al.
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
Yanshu Li, Jianjiang Yang, Zhennan Shen et al.
CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models
Mengfei Zhang, Zhenglin Wang
Causal Activation Steering via Sparse Mediation
Toan Doan, Uyen Le, Thin Nguyen
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images
Bo Liu, Qiao Qin, Qinghui He