All Papers
34,598 papers found • Page 65 of 692
Conference
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
Jinqi Xiao, Shen Sang, Tiancheng Zhi et al.
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model
Benlin Liu, Yuhao Dong, Yiqin Wang et al.
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation
Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
Younggyo Seo, Pieter Abbeel
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
Zelin Xu, Yupu Zhang, Tingsong Xiao et al.
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
Haocheng Xi, Han Cai, Ligeng Zhu et al.
CoA: Towards Real Image Dehazing via Compression-and-Adaptation
Long Ma, Yuxin Feng, Yan Zhang et al.
CoA-VLA: Improving Vision-Language-Action Models via Visual-Text Chain-of-Affordance
Jinming Li, Yichen Zhu, Zhibin Tang et al.
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
Jiaxin Zhang, Junjun Jiang, Youyu Chen et al.
CObL: Toward Zero-Shot Ordinal Layering without User Prompting
Aneel Damaraju, Dean Hazineh, Todd Zickler
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari et al.
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Han Zhao, Min Zhang, Wei Zhao et al.
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong, Wooju Lee, Hyun Myung
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
Bojia Zi, Shihao Zhao, Xianbiao Qi et al.
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition
Xuli Shen, Hua Cai, Weilin Shen et al.
CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
Jungho Lee, Suhwan Cho, Taeoh Kim et al.
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
Xueqing Deng, Linjie Yang, Qihang Yu et al.
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
Minkyoung Cho, Yulong Cao, Jiachen Sun et al.
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
Dapeng Zhang, Fei Shen, Rui Zhao et al.
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving
Rui Song, Chenwei Liang, Yan Xia et al.
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects
Huaijin Pi, Zhi Cen, Zhiyang Dou et al.
CODA: Repurposing Continuous VAEs for Discrete Tokenization
Zeyu Liu, Zanlin Ni, Yeguo Hua et al.
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
Anjiang Wei, Tarun Suresh, Jiannan Cao et al.
Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection
Enshen Zhou, Qi Su, Cheng Chi et al.
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
Myeongsoo Kim, Shweta Garg, Baishakhi Ray et al.
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
Zhen Ye, Peiwen Sun, Jiahe Lei et al.
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
Marco P. Apolinario, Sakshi Choudhary, Kaushik Roy
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
Gyeongjin Kang, Younggeun Lee, Seungjun Oh et al.
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
Shoucheng Song, Youfang Lin, Sheng Han et al.
CODE: Confident Ordinary Differential Editing
Bastien Van Delft, Tommaso Martorella, Alexandre Alahi
CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
Man Ho Lam, Chaozheng Wang, Jen-Tse Huang et al.
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
Gunho Park, Jeongin Bae, Byeongwook Kim et al.
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
Jiao Huang, Qianli Xing, Jinglong Ji et al.
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
Hongyuan Tao, Ying Zhang, Zhenhao Tang et al.
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Yuchen Tian, Weixiang Yan, Qian Yang et al.
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
Junlong Li, Daya Guo, Dejian Yang et al.
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
Dung Nguyen, Thang Phan, Nam Le Hai et al.
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
Jiaxin Wen, Jian Guan, Hongning Wang et al.
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
Shuai Tang, Sitao Lin, Jianghong Ma et al.
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Yongchao Chen, Yilun Hao, Yueying Liu et al.
Code-switching Mediated Sentence-level Semantic Learning
Shuai Zhang, Jiangyan Yi, Zhengqi Wen et al.
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng et al.
CodeXEmbed: A Generalist Embedding Model Family for Multilingual and Multi-task Code Retrieval
Ye Liu, Rui Meng, Shafiq Joty et al.
Codifying Character Logic in Role-Playing
Letian Peng, Jingbo Shang
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
Abhishek Singh, Gauri Gupta, Yichuan Shi et al.
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework
Yushan Han, Hui Zhang, Honglei Zhang et al.
CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu, Daniel Gomm, Michael Färber
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
wenlong yu, Qilong Wang, Chuang Liu et al.