Papers
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes
Ziteng Xue, Mingzhe Guo, Heng Fan et al.
CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation
Dengke Zhang, Fagui Liu, Quan Tang
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
Binjia Zhou, Hengrui Lou, Lizhe Chen et al.
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang, Dongwon Lee
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Amber Shore, Russell Scheinberg, Ameeta Agrawal et al.
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers et al.
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
Juraj Vladika, Ihsan Soydemir, Florian Matthes
Correcting Large Language Model Behavior via Influence Function
Han Zhang, Zhuo Zhang, Yi Zhang et al.
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
Sangwon Yu, Jongyoon Song, Bongkyu Hwang et al.
Correcting on Graph: Faithful Semantic Parsing over Knowledge Graphs with Large Language Models
Ruilin Zhao, Feng Zhao, Hong Zhang
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
Audrey Huang, Wenhao Zhan, Tengyang Xie et al.
Correcting the Tamazight Portions of FLORES+ and OLDI Seed Datasets
Alp Oktem, Mohamed Aymane Farhi, Brahim Essaidi et al.
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Mario Sanz-Guerrero, Katharina Von Der Wense
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Cassidy Laidlaw, Shivam Singhal, Anca Dragan
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
SUBBA REDDY OOTA, Akshett Rai Jindal, Ishani Mondal et al.
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
Letian Peng, Chenyang An, Jingbo Shang
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma et al.
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
Qiunan Du, Zhiliang Tian, Zhen Huang et al.
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
Lei-Lei Ma, Shuo Xu, Ming-Kun Xie et al.
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
Haoran Wang, Zekun Li, Jian Zhang et al.
Correspondence-Free Fast and Robust Spherical Point Pattern Registration
Anik Sarker, Alan T. Asbeck
CorrFill: Enhancing Faithfulness in Reference-Based Inpainting with Correspondence Guidance in Diffusion Models
Kuan-Hung Liu, Cheng-Kun Yang, Min-Hung Chen et al.
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
Yunhao Gou, Hansi Yang, Zhili Liu et al.
CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
Yiliu Sun, Zicheng Zhao, Sheng Wan et al.
Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning
Jingjing Jiang, Chao Ma, Xurui Song et al.