Papers
CARES: Context-Aware Resolution Selector for VLMs
Moshe Kimhi, Nimrod Shabtay, Raja Giryes et al.
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
Chaohui Guo, Michel C. A. Klein, Zhisheng Huang
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.
CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades
Raeyoung Chang, Dongwook Kwon, Jisoo Lee et al.
CASE – Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
Gaifan Zhang, Yi Zhou, Danushka Bollegala
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
Akshith Reddy Putta, Jacob Devasier, Chengkai Li
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
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie et al.
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
Ahmed Heakl, Gustavo Bertolo Stahl, Sarim Hashmi et al.
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: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
Qizhi Jiang, Shuo Wang, Pei Ke 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-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths
YiJie Huang, Xiaocui Yang, Shi Feng et al.