Hanjun Luo

According to our database, Hanjun Luo authored at least 14 papers between 2024 and 2026.

Collaborative distances:

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

2026

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters.

Hanjun Luo, Zhimu Huang, Sylvia Chung, Yiran Wang, Yingbin Jin, Jialin Li, Jiang Li, Xinfeng Li, Hanan Salam

CoRR, May, 2026

BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models.

Hanjun Luo, Zhimu Huang, Haoyu Huang, Ziye Deng, Ruizhe Chen, Xinfeng Li, Zuozhu Liu, Hanan Salam

CoRR, April, 2026

PrefIx: Understand and Adapt to User Preference in Human-Agent Interaction.

Jialin Li, Zhenhao Chen, Hanjun Luo, Hanan Salam

CoRR, February, 2026

2025

HAI-Eval: Measuring Human-AI Synergy in Collaborative Coding.

Hanjun Luo, Chiming Ni, Jiaheng Wen, Zhimu Huang, Yiran Wang, Bingduo Liao, Sylvia Chung, Yingbin Jin, Xinfeng Li, Wenyuan Xu, XiaoFeng Wang, Hanan Salam

CoRR, December, 2025

AutoDebias: Automated Framework for Debiasing Text-to-Image Models.

Hongyi Cai, Mohammad Mahdinur Rahman, Mingkang Dong, Jie Li, Muxin Pu, Zhili Fang, Yinan Peng, Hanjun Luo, Yang Liu

CoRR, August, 2025

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents.

Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam

CoRR, June, 2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models.

Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Zhe Wang, Xingjian Du, Shun Zhang, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Xiaojun Jia, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Haoyang Li, Yiming Li, Xiaobin Zhuang, Yang Liu, Haibo Hu, Zhuo Chen, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, XiaoFeng Wang, Wenyuan Xu, Wei Dong, Xinfeng Li

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition.

Hanjun Luo, Yingbin Jin, Yiran Wang, Xinfeng Li, Tong Shang, Xuecheng Liu, Ruizhe Chen, Kun Wang, Hanan Salam, Qingsong Wen, Zuozhu Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models.

Hanjun Luo, Yingbin Jin, Xuecheng Liu, Tong Shang, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary.

Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM.

Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models.

Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu

CoRR, 2024

UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning.

Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024