Papers
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. E. 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.
CodeComplex: Dataset for Worst-Case Time Complexity Prediction
SeungYeop Baik, Joonghyuk Hahn, Jungin Kim et al.
CODE: Confident Ordinary Differential Editing
Bastien Van Delft, Tommaso Martorella, Alexandre Alahi
Code_Conquerors@DravidianLangTech 2025: Deep Learning Approach for Sentiment Analysis in Tamil and Tulu
Harish Vijay V, Ippatapu Venkata Srichandra, Pathange Omkareshwara Rao et al.
Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT
Pathange Omkareshwara Rao, Harish Vijay V, Ippatapu Venkata Srichandra et al.
CodeContests+: High-Quality Test Case Generation for Competitive Programming
Zihan Wang, Siyao Liu, Yang Sun et al.
codecrackers@DravidianLangTech 2025: Sentiment Classification in Tamil and Tulu Code-Mixed Social Media Text Using Machine Learning
Lalith Kishore V P, Dr G Manikandan, Mohan Raj M A et al.
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
Guang Yin, Yitong Li, Yixuan Wang et al.
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
Kechi Zhang, Ge Li, Yihong Dong et al.
CodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language Models
Danny Brahman, Mohammad Mahoor
CodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language Models
Danny Brahman, Mohammad Mahoor
Code Execution as Grounded Supervision for LLM Reasoning
Dongwon Jung, Wenxuan Zhou, Muhao Chen
Code_Gen at BLP-2025 Task 1: Enhancing Bangla Hate Speech Detection with Transformers through Token-Aware Adversarial Contrastive Training and Layer-wise Learning Rate Decay
Shifat Islam, Abhishek Agarwala, Emon Ghosh
Code_Gen at BLP-2025 Task 1: Enhancing Bangla Hate Speech Detection with Transformers through Token-Aware Adversarial Contrastive Training and Layer-wise Learning Rate Decay
Shifat Islam, Abhishek Agarwala, Emon Ghosh
Code_Gen at BLP-2025 Task 2: BanglaCode: A Cross-lingual Benchmark for Code Generation with Translation and Assertion Strategies
Abhishek Agarwala, Shifat Islam, Emon Ghosh
Code_Gen at BLP-2025 Task 2: BanglaCode: A Cross-lingual Benchmark for Code Generation with Translation and Assertion Strategies
Abhishek Agarwala, Shifat Islam, Emon Ghosh
CodeGenWrangler: Data Wrangling task automation using Code-Generating Models
Ashlesha Akella, Abhijit Manatkar, Krishnasuri Narayanam et al.
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Yuchen Tian, Weixiang Yan, Qian Yang et al.
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Kaiwen Yan, Hongcheng Guo, Xuanqing Shi et al.
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
Yuwei Zhao, Ziyang Luo, Yuchen Tian et al.
Code Like Humans: A Multi-Agent Solution for Medical Coding
Andreas Geert Motzfeldt, Joakim Edin, Casper L. Christensen et al.
CODEMENV: Benchmarking Large Language Models on Code Migration
Keyuan Cheng, Xudong Shen, Yihao Yang et al.