2025
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
CVPR 2025
Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan Kankanhalli, and Junnan Li
ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use
ICLR 2025 Workshop
Kaixin Li, Ziyang Meng, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang and Tat-Seng Chua
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
NAACL 2025
Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma
CodeHalu: Code Hallucinations in LLMs Driven by Execution-based Verification
AAAI 2025
Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
COLING 2025
Yuwei Zhao*, Ziyang Luo*, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, and Jing Ma
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
ACM Transactions on Intelligent Systems and Technology (TIST)
Hongzhan Lin*, Ziyang Luo*, Bo Wang, Ruichao Yang, and Jing Ma
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
ICLR 2025 Workshop
Shengkang Wang*, Hongzhan Lin*, Ziyang Luo*, Zhen Ye, Guang Chen, and Jing Ma
2024
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
ICLR 2024
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, and Lidong Bing
Towards Low-Resource Harmful Meme Detection with LMM Agents
EMNLP 2024
Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, and Jing Ma
MMCode: Evaluating Multi-Modal Code Large Language Models with Visually Rich Programming Problems
EMNLP 2024
Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, and Jing Ma
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, and Guang Chen
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
WWW 2024
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, and Ruichao Yang
2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
ICCV 2023
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
EMNLP 2023
Hongzhan Lin*, Ziyang Luo*, Jing Ma, and Long Chen
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
AAAI 2023
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
COLING 2022
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval
EMNLP 2022
Ziyang Luo, Yadong Xi, Rongsheng Zhang, Gongzheng Li, Zeng Zhao, and Jing Ma
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
NAACL 2022
Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
Easy and Efficient Transformer: Scalable Inference Solution for Large NLP Model
NAACL 2022
Yadong Xi, Gongzheng Li, Jingzhen Ding, Duan Wang, Ziyang Luo, Rongsheng Zhang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao