Papers
CompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring
Mingchen Zhong, Xin Lu, Dong Li et al.
Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors
Rui Yin, Tianxu Han, Naen Xu et al.
Completely Modular Fine-tuning for Dynamic Language Adaptation
Zhe Cao, Yusuke Oda, Qianying Liu et al.
Complex Instruction Following with Diverse Style Policies in Football Games
Chenglu Sun, Shuo Shen, Haonan Hu et al.
Complexity-aware fine-tuning
Andrey Goncharov, Daniil Vyazhev, Petr Sychev et al.
Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization
Matan Schliserman, Tomer Koren
Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline
Weikang Bai, Yongkun Du, Yuchen Su et al.
Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI
Parisa Kordjamshidi
Compositional Attribute Imbalance in Vision Datasets
Yanbiao Ma, Jiayi Chen, Wei Dai et al.
Compositional Reasoning via Joint Image and Language Decomposition
Dwip Dalal, Madhav Kanda, Zhenhailong Wang et al.
Compositional Steering of Large Language Models with Steering Tokens
Gorjan Radevski, Kiril Gashteovski, Giwon Hong et al.
Composition-Incremental Learning for Compositional Generalization
Zhen Li, Yuwei Wu, Chenchen Jing et al.
Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
Klejda Alushi, Jan Strich, Chris Biemann et al.
Comprehensive Study of Bilingual and Multi-category Instruction Pre-training
Takashi Kodama, Yusuke Oda
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
Yingde Lin, Yuanbo Xu, Lu Jiang et al.
Compressibility Barriers to Neighborhood-Preserving Data Visualization
Szymon Snoeck, Noah Bergam, Nakul Verma
Compressing Language Models for Specialized Domains
Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo et al.
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
Runhuai Chen, Dian Shen, Dandan Zhang et al.
Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
Da Li, Yuxiao Luo, Keping Bi et al.
Compression Artifacts Removal for VVC with Frequency Domain Mixture of Experts Network
Qijun Wang, Kang Wang, Jun Wang
Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression
Zhewei Zhi, Yingyi Zhang, Yizhen Jing et al.
CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables
Zhen Yang, Wei Du, Jie Wang et al.
CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
Sifan Zhou, Yichao Cao, Jiahao Nie et al.