Artificial Intelligence

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025 Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT NAACL 2025 CodeContests+: High-Quality Test Case Generation for Competitive Programming EMNLP 2025 CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity RSS 2025 CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025 CodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language Models IJCNLP 2025 Code Execution as Grounded Supervision for LLM Reasoning EMNLP 2025 Code_Gen at BLP-2025 Task 2: BanglaCode: A Cross-lingual Benchmark for Code Generation with Translation and Assertion Strategies AACL 2025 Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction ICML 2025 CodeGenWrangler: Data Wrangling task automation using Code-Generating Models NAACL 2025 CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification AAAI 2025 CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation ACL 2025 CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction ICML 2025 CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? COLING 2025 Code Like Humans: A Multi-Agent Solution for Medical Coding EMNLP 2025 CODEMENV: Benchmarking Large Language Models on Code Migration ACL 2025 CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages EMNLP 2025 CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs ICLR 2025 CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages COLING 2025 Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency NAACL 2025 CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning ICLR 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025 CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models IJCAI 2025 CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion EMNLP 2025