Papers
CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks
Giulio Corallo, Orion Weller, Fabio Petroni et al.
CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
Rui Wang, Junda Wu, Yu Xia et al.
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
Satoshi Hashimoto, Tatsuya Konishi, Tomoya Kaichi et al.
CADiff: Context-Aware Diffusion for Controllable Anomaly Generation in Anomaly Detection
Xuan Tong, Yuxuan Lin, Junxiong Lin et al.
CADMate: Generating CAD Assembly Plan with Geometric Chain-of-Thought and Spatial Physical Rewards
Jiali Chen, DingBa Fu, Xusen Hei et al.
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
Hao Li, Yuhao Wang, Xiantao Hu et al.
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma, Xi Xiao, Tianyang Wang et al.
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow
Ruisheng Han, Kanglei Zhou, Shuang Chen et al.
CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation
Xinzhe Jiang, Lei Sang, Yi Zhang et al.
CAG-GS: Consistent Anchor Guided Gaussian Splatting for Large-scale Scene Rendering
Shijie Xu, Qiulei Dong
CAIRE: Cultural Attribution of Images with Retrieval
Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja et al.
CAKE: Causal-Guided Adaptive Knowledge Editing for LLMs
Shuxin Liu, Jianhao Zhang
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
Bastien Liétard, Gabriel Loiseau
CalibBEV: LiDAR-Camera Calibration via BEV Alignment
Filippo D'Addeo, Lorenzo Cipelli, Adriano Cardace et al.
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
Alberto Testoni, Iacer Calixto
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
Zhouxuwen, Fangxin Liu, Chao Wang et al.
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
Da Chang, Peng Xue, Yu Li et al.
Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLMs
Everlyn Asiko Chimoto, Mostafa Elhoushi, Bruce Bassett
Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
Shanwen Tan, Ziyang Dong, Wei Ju et al.
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li et al.
Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis
Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini
Calibration-Aware Policy Optimization for Reasoning LLMs
Ziqi Wang, Xingzhou Lou, Meiqi Wu et al.
Calibration-Aware Semi-Supervised Fetal Head Segmentation with Boundary-Positive Contrast
Ufaq Khan, Umair Nawaz, Tajamul Ashraf et al.
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
Divyaksh Shukla, Ashutosh Modi
CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior
Vihanga Supasan Kariyakaranage, Banuka Athuraliya