Papers
16,749 papers found
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
Kechi Zhang, Ge Li, Yihong Dong et al.
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Kaiwen Yan, Hongcheng Guo, Xuanqing Shi et al.
CODEMENV: Benchmarking Large Language Models on Code Migration
Keyuan Cheng, Xudong Shen, Yihao Yang et al.
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
Qingyao Li, Xinyi Dai, Xiangyang Li et al.
CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
Hong Yi Lin, Chunhua Liu, Haoyu Gao et al.
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
Peter Jansen, Oyvind Tafjord, Marissa Radensky et al.
Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging
Tengfei Wen, Xuanang Chen, Ben He et al.
Code-Switching and Syntax: A Large-Scale Experiment
Igor Sterner, Simone Teufel
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
Haneul Yoo, Cheonbok Park, Sangdoo Yun et al.
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
Haneul Yoo, Yongjin Yang, Hwaran Lee
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan et al.
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
Daniil Orel, Dilshod Azizov, Preslav Nakov
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
Yifei Lu, Fanghua Ye, Jian Li et al.
CodeV: Issue Resolving with Visual Data
Linhao Zhang, Daoguang Zan, Quanshun Yang et al.
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Junying Chen, Chi Gui, Anningzhe Gao et al.
CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations
Zhiyu Shen, Yunhe Pang, Yanghui Rao et al.
COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content
Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh et al.
COGNAC at CQs-Gen 2025: Generating Critical Questions with LLM-Assisted Prompting and Multiple RAG Variants
Azwad Anjum Islam, Tisa Islam Erana, Mark A. Finlayson
COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting
Azwad Anjum Islam, Mark Finlayson
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
Xiaqiang Tang, Jian Li, Keyu Hu et al.
Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback
Xu Han, Bo Wang, Yueheng Sun et al.
CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering
Shubham Agarwal, Thomas Searle, Kawsar Noor et al.
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
Xintong Wang, Jingheng Pan, Liang Ding et al.
COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition
Aldan Creo, Héctor Cerezo - Costas, Maximiliano Hormazábal Lagos et al.
CoinMath: Harnessing the Power of Coding Instruction for Math LLM
Chengwei Wei, Bin Wang, Jung-jae Kim et al.