Papers
Conformal Prediction for Partial Label Learning
Xiuwen Gong, Nitin Bisht, Guandong Xu
Conformal Prediction for Zero-Shot Models
Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
Conformal Prediction Sets Can Cause Disparate Impact
Jesse C. Cresswell, Bhargava Kumar, Yi Sui et al.
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
Danhui Chen, Ziquan Liu, Chuxi Yang et al.
Conformal Structured Prediction
Botong Zhang, Shuo Li, Osbert Bastani
Conformal Thresholded Intervals for Efficient Regression
Rui Luo, Zhixin Zhou
Conformity in Large Language Models
Xiaochen Zhu, Caiqi Zhang, Tom Stafford et al.
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
Junhao Dong, Jiao Liu, Xinghua Qu et al.
Confounding Factors in Relating Model Performance to Morphology
Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux
Confounding-Robust Deferral Policy Learning
Ruijiang Gao, Mingzhang Yin
ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses
Michael Galarnyk, Rutwik Routu, Vidhyakshaya Kannan et al.
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Hao Zheng, Zhigang Hu, Liu Yang et al.
Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning
Shuang Song, Yifei Zhang, Neng Gao
Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
Yu Yan, Sheng Sun, Zhe Wang et al.
CONGO: Compressive Online Gradient Optimization
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena et al.
Conical Visual Concentration for Efficient Large Vision-Language Models
Long Xing, Qidong Huang, Xiaoyi Dong et al.
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
Jiahui Geng, Thy Thy Tran, Preslav Nakov et al.
ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
Liyu Zhang, Weiqi Wang, Tianqing Fang et al.
ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords
Sina Ahmadi, Micha David Hess, Elena Álvarez-Mellado et al.
ConMeC: A Dataset for Metonymy Resolution with Common Nouns
Saptarshi Ghosh, Tianyu Jiang
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
Zhixin Li, Yuheng Jia
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
Jiayi Gao, Zijin Yin, Changcheng Hua et al.
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability
Thomas Bailleux, Tanmoy Mukherjee, Pierre Marquis et al.
Connecting Federated ADMM to Bayes
Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Hao Tang, Shengfeng He, Jing Qin