Papers
Conformity Score Averaging for Classification
Rui Luo, Zhixin Zhou
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H. Abbasi 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
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson et al.
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
Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning
Junho Kim, Soyeon Bak, Mingyu Lee et al.
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
Bingshan Hu, Zhiming Huang, Tianyue H. Zhang et al.
Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
Connector-S: A Survey of Connectors in Multi-modal Large Language Models
Xun Zhu, Zheng Zhang, Xi Chen et al.