Papers
CoRet: Improved Retriever for Code Editing
Fabio James Fehr, Prabhu Teja S, Luca Franceschi et al.
Core-to-Global Reasoning for Compositional Visual Question Answering
Hao Zhou, Tingjin Luo, Zhangqi Jiang
CORG: Generating Answers from Complex, Interrelated Contexts
Hyunji Lee, Franck Dernoncourt, Trung Bui et al.
Corgi: Cached Memory Guided Video Generation
Xindi Wu, Uriel Singer, Zhaojiang Lin et al.
CoRI: Communication of Robot Intent for Physical Human-Robot Interaction
Junxiang Wang, Emek Barış Küçüktabak, Rana Soltani Zarrin et al.
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh, Revanth Gangi Reddy, Yifei Xu et al.
Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning
Weili Jiang, Yiming Li, Gadeng Luosang et al.
Corpus-Oriented Stance Target Extraction
Benjamin Steel, Derek Ruths
Corpus Poisoning via Approximate Greedy Gradient Descent
Jinyan Su, Preslav Nakov, Claire Cardie
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 Errors in Large Language Models
Elliot Myunghoon Kim, Avi Garg, Kenny Peng et al.
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Cassidy Laidlaw, Shivam Singhal, Anca Dragan