Papers
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
Han Peng, Jinhao Jiang, Zican Dong et al.
Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control
Hejia Chen, Haoxian Zhang, Shoulong Zhang et al.
CafGa: Customizing Feature Attributions to Explain Language Models
Alan David Boyle, Furui Cheng, Vilém Zouhar et al.
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
Heng Yu, Junfeng Kang, Rui Li et al.
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Aram Davtyan, Sepehr Sameni, Björn Ommer et al.
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection
Zhixin Cheng, Jiacheng Deng, Xinjun Li et al.
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval
Dominik Benchert, Severin Meßlinger, Sven Goller et al.
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval
Dominik Benchert, Severin Meßlinger, Sven Goller et al.
CAIR: Counterfactual-based Agent Influence Ranker for Agentic AI Workflows
Amit Giloni, Chiara Picardi, Roy Betser et al.
CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval
Muqaddas Haroon, Shaina Ashraf, Ipek Baris et al.
CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval
Muqaddas Haroon, Shaina Ashraf, Ipek Baris et al.
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
Ziran Qin, Yuchen Cao, Mingbao Lin et al.
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
Shiyuan Ma, Donglin Qian, Kai Ye et al.
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
Yunzhi Yao, Jizhan Fang, Jia-Chen Gu et al.
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai et al.
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong, Xiang Xu, Jun Cen et al.
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
Haitao Li, Junjie Chen, Qingyao Ai et al.
Calibrated Computation-Aware Gaussian Processes
Disha Hegde, Mohamed Adil, Jon Cockayne
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu et al.
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
Yujin Jeong, Dominik Rothenhäusler
Calibrated Language Models and How to Find Them with Label Smoothing
Jerry Huang, Peng Lu, Qiuhao Zeng
Calibrated Multi-Preference Optimization for Aligning Diffusion Models
Kyungmin Lee, Xiahong Li, Qifei Wang et al.
Calibrated Physics-Informed Uncertainty Quantification
Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi et al.
Calibrated Regression Against An Adversary Without Regret
Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
Calibrated Value-Aware Model Learning with Probabilistic Environment Models
Claas A Voelcker, Anastasiia Pedan, Arash Ahmadian et al.