Papers
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery
Luke Moffett, Bhuwan Dhingra
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
Jian Meng, Ahmed Hasssan, Li Yang et al.
Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset
Maksim Golyadkin, Ianis Plevokas, Ilya Makarov
CLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
Elena Bueno-Benito, Mariella Dimiccoli
CLOVER: Cross-Layer Orthogonal Vectors Pruning
Fanxu Meng, Pingzhi Tang, Fan Jiang et al.
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
Quang Hieu Pham, Thuy Duong Nguyen, Tung Pham et al.
CLRG@FinCausal2025: Cause-Effect Extraction in Finance Domain
Vibhavkrishnan K S, Pattabhi RK Rao, Sobha Lalitha Devi
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
Jan Ackermann, Jonas Kulhanek, Shengqu Cai et al.
ClubHeap: A High-Speed and Scalable Priority Queue for Programmable Packet Scheduling
Zhikang Chen, Haoyu Song, Zhiyu Zhang et al.
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
Hao Chen, Yukun Yan, Sen Mei et al.
CluSanT: Differentially Private and Semantically Coherent Text Sanitization
Ahmed Musa Awon, Yun Lu, Shera Potka et al.
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
Baohao Liao, Christian Herold, Seyyed Hadi Hashemi et al.
ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering
Minwei Zhang, Haifeng Sun, Jingyu Wang et al.
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Xianda Wang, Yaqi Qiao, Duo Wu et al.
Clustered Invariant Risk Minimization
Tomoya Murata, Atsushi Nitanda, Taiji Suzuki
Cluster-guided Contrastive Class-imbalanced Graph Classification
Wei Ju, Zhengyang Mao, Siyu Yi et al.
Clustering by Mining Density Distributions and Splitting Manifold Structure
Zhichang Xu, Zhiguo Long, Hua Meng
Clustering Context in Off-Policy Evaluation
Daniel Guzman Olivares, Philipp Schmidt, Jacek Golebiowski et al.
Clustering Items through Bandit Feedback: Finding the Right Feature out of Many
Maximilian Graf, Thuot Victor, Nicolas Verzelen
Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles
Rifat Rahman, Mohammed Eunus Ali
Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles
Rifat Rahman, Mohammed Eunus Ali
Clustering Properties of Self-Supervised Learning
Xi Weng, Jianing An, Xudong Ma et al.
Clustering via Self-Supervised Diffusion
Roy Uziel, Irit Chelly, Oren Freifeld et al.