Papers
Coarse-to-Fine Generative Model for Oracle Bone Inscriptions Inpainting
Shibin Wang, Wenjie Guo, Yubo Xu et al.
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
Shiyi Zhu, Jing Ye, Wei Jiang et al.
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
Sunhao Dai, Weihao Liu, Yuqi Zhou et al.
CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation
Xinbei Ma, Zhuosheng Zhang, Hai Zhao
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models
Jun-Hyung Park, Mingyu Lee, Junho Kim et al.
Co-Creational Teaching of Natural Language Processing
John P. McCrae
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
Kechi Zhang, Jia Li, Ge Li et al.
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
Qibing Ren, Chang Gao, Jing Shao et al.
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models
Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin et al.
CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow
Nathanaël Beau, Benoit Crabbé
CodeM: Less Data Yields More Versatility via Ability Matrix
Daoguang Zan, Ailun Yu, Wei Liu et al.
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
Demin Song, Honglin Guo, Yunhua Zhou et al.
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
Weixiang Yan, Haitian Liu, Yunkun Wang et al.
Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment
Zhihong Zhu, Xuxin Cheng, Zhanpeng Chen et al.
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models
Fuwen Luo, Chi Chen, Zihao Wan et al.
CoELM: Construction-Enhanced Language Modeling
Lvxiaowei Xu, Zhilin Gong, Jianhua Dai et al.
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
Zixin Chen, Hongzhan Lin, Ziyang Luo et al.
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
Kaiyan Zhang, Jianyu Wang, Ermo Hua et al.
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
Tong Zhou, Yubo Chen, Kang Liu et al.
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
Yunxin Li, Xinyu Chen, Baotian Hu et al.
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
Jincenzi Wu, Zhuang Chen, Jiawen Deng et al.
Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions
Will Aitken, Mohamed Abdalla, Karen Rudie et al.
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing
Matthias Aßenmacher, Andreas Stephan, Leonie Weissweiler et al.
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee, Beomchan Park, Chae Won Kim et al.