Papers
Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars
Julieta Martinez, Emily Kim, Javier Romero et al.
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Junho Kim, Hyun Jun Kim, Yeon Ju Kim et al.
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
Hao Tang, Keya Hu, Jin Peng Zhou et al.
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen et al.
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
Hao Ma, Tianyi Hu, Zhiqiang Pu et al.
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
Hanwen Jiang, Haitao Yang, Georgios Pavlakos et al.
CogVLM: Visual Expert for Pretrained Language Models
Weihan Wang, Qingsong Lv, Wenmeng Yu et al.
Coherent 3D Scene Diffusion From a Single RGB Image
Manuel Dahnert, Angela Dai, Norman Müller et al.
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
Cheng Chen, Junchen Zhu, Xu Luo et al.
COLD: Causal reasOning in cLosed Daily activities
Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
Yizhuo Ma, Shanmin Pang, Qi Guo et al.
Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou, Yaoxin Wu, Zhiguang Cao et al.
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
Weibo Gao, Qi Liu, Linan Yue et al.
Collaborative Refining for Learning from Inaccurate Labels
Bin Han, Yi-Xuan Sun, Ya-Lin Zhang et al.
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
Zhengfei Kuang, Shengqu Cai, Hao He et al.
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
David Brandfonbrener, Hanlin Zhang, Andreas Kirsch et al.
Color-Oriented Redundancy Reduction in Dataset Distillation
Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh et al.
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Dongzhi Jiang, Guanglu Song, Xiaoshi Wu et al.
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
Ming Zhong, Fang Lyu, Lulin Wang et al.
Combining Observational Data and Language for Species Range Estimation
Max Hamilton, Christian Lange, Elijah Cole et al.
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi et al.
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Zi Yang, Ziyue Liu, Samridhi Choudhary et al.
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
Emanuele Vivoli, Marco Bertini, Dimosthenis Karatzas