Muxi Diao

According to our database, Muxi Diao authored at least 21 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions.

Xinran Wang, Yuxuan Zhang, Xiao Zhang, Haolong Yan, Muxi Diao, Songyu Xu, Zhonghao Yan, Hongbing Li, Kongming Liang, Zhanyu Ma

CoRR, April, 2026

Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images.

Yuxuan Yang, Zhonghao Yan, Yi Zhang, Bo Yun, Muxi Diao, Guowei Zhao, Kongming Liang, Wenbin Li, Zhanyu Ma

CoRR, February, 2026

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting.

Muxi Diao, Lele Yang, Wuxuan Gong, Yutong Zhang, Zhonghao Yan, Yufei Han, Kongming Liang, Weiran Xu, Zhanyu Ma

CoRR, January, 2026

Toward Generalizable Forgery Detection and Reasoning.

Yueying Gao, Dongliang Chang, Bingyao Yu, Haotian Qin, Muxi Diao, Lei Chen, Kongming Liang, Zhanyu Ma

IEEE Trans. Image Process., 2026

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision.

Zhonghao Yan, Muxi Diao, Yuxuan Yang, Ruoyan Jing, Jiayuan Xu, Kaizhou Zhang, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videos.

Zixi Yang, Jiapeng Li, Muxi Diao, Yinuo Jing, Kongming Liang

CoRR, October, 2025

AutoRed: A Free-form Adversarial Prompt Generation Framework for Automated Red Teaming.

Muxi Diao, Yutao Mou, Keqing He, Hanbo Song, Lulu Zhao, Shikun Zhang, Wei Ye, Kongming Liang, Zhanyu Ma

CoRR, October, 2025

OJBench: A Competition Level Code Benchmark For Large Language Models.

Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu

CoRR, June, 2025

DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving.

Muxi Diao, Lele Yang, Hongbo Yin, Zhexu Wang, Yejie Wang, Daxin Tian, Kongming Liang, Zhanyu Ma

CoRR, May, 2025

Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation.

Xinran Wang, Muxi Diao, Yuanzhi Liu, Chunyu Wang, Kongming Liang, Zhanyu Ma, Jun Guo

CoRR, May, 2025

CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation.

Xinran Wang, Songyu Xu, Xiangxuan Shan, Yuxuan Zhang, Muxi Diao, Xueyan Duan, Yanhua Huang, Kongming Liang, Zhanyu Ma

CoRR, May, 2025

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.

Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Jiapeng Wang, Zhuoma Gongque, Shanglin Lei, Yifan Zhang, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Xiao Zong, Yida Xu, Peiqing Yang, Zhimin Bao, Muxi Diao, Chen Li, Honggang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models.

Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent.

Xinran Wang, Muxi Diao, Baoteng Li, Haiwen Zhang, Kongming Liang, Zhanyu Ma

CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

CoRR, 2024

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Zhuoma Gongque, Shanglin Lei, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Yifan Zhang, Xiao Zong, Yida Xu, Muxi Diao, Zhimin Bao, Chen Li, Honggang Zhang

CoRR, 2024

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models.

Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu

CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024