• I am a research scientist senior manager@Accenture, Center for Advanced AI. I obtained my PhD in Computer Science Department at Rutgers University, advised by Prof. Shiqing Ma and Prof. Dimitris N. Metaxas. I was a research scientist intern at GenAI@Meta, and a research intern at Sony AI.
• Research Interests: Agentic LLM, Agent Training, LLM Reasoning, and LLM Post-training.

News

• [2025-05] 2 papers are accepted to ACL 2025.
• [2025-05] 3 papers are accepted to ICML 2025.
• [2025-03] I am co-organizing the Data for Generative Models workshop at ICML 2025.
• [2025-02] 4 papers are accepted to CVPR 2025 (1 Hightlight).
• [2025-01] 3 papers are accepted to ICLR 2025.
• [2025-01] 3 papers are accepted to NAACL 2025.

Selected Publications

See Google Scholar for full publication list.

• MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
  Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Shah, Yujia Bao, Eugene Siow (Preprint)

• DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
  Zhenting Wang, Guofeng Cui, Kun Wan, Wentian Zhao (Preprint)

• Token-Budget-Aware LLM Reasoning
  Tingxu Han*, Zhenting Wang*, Chunrong Fang, Shiyu Zhao, Shiqing Ma, Zhenyu Chen (Preprint, * indicates equal contribution)
  Annual Meeting of the Association for Computational Linguistics 2025 (ACL 2025 Findings, HuggingFace Daily Paper Top1)

• MLLM-as-a-Judge for Image Safety without Human Labeling
  Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain
  IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025 Highlight, Top 2.9%)

• Evaluating and Mitigating IP Infringement in Visual Generative AI
  Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
  International Conference on Machine Learning 2025 (ICML 2025)

• Accelerating Multimodel Large Language Models by Searching Optimal Vision Token Reduction
  Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)

• Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang International Conference on Computational Linguistics 2025 (COLING 2025)

• Visual Agents as Fast and Slow Thinkers
  Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
  International Conference on Learning Representations 2025 (ICLR 2025)

• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
  Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
  International Conference on Machine Learning 2025 (ICML 2025)

• ProSec: Fortifying Code LLMs with Proactive Security Alignment
  Xiangzhe Xu, Zian Su, Jinyao Guo, Kaiyuan Zhang, Zhenting Wang, Xiangyu Zhang
  International Conference on Machine Learning 2025 (ICML 2025)

• ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
  Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang
  Conference on Language Modeling 2024 (COLM 2024)

• Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
  Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang
  International Conference on Learning Representations 2024 (ICLR 2025)

• UNICORN: A Unified Backdoor Trigger Inversion Framework
  Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma
  International Conference on Learning Representations 2023 (ICLR 2023 Spotlight, Top 5.7%)

Service

• Co-organizer, Data in Generative Models Workshop @ ICML 2025
• Reviewer, International Conference on Learning Representations (ICLR), 2024, 2025
• Reviewer, International Conference on Machine Learning (ICML), 2022, 2023, 2024, 2025
• Reviewer, Conference on Neural Information Processing Systems (NeurIPS), 2022, 2023, 2024, 2025
• Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2024, 2025
• Reviewer, IEEE/CVF International Conference on Computer Vision (ICCV), 2023, 2025
• Reviewer, European Conference on Computer Vision (ECCV), 2024
• Reviewer, ACL Rolling Review (ARR), 2025
• Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
• Reviewer, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
• Reviewer, International World Wide Web Conference (WWW), 2025
• Reviewer, Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
• Reviewer, International Joint Conference on Artificial Intelligence (IJCAI), 2023
• Reviewer, SIAM International Conference on Data Mining (SDM), 2024
• Reviewer, NeurIPS Dataset and Benchmark Track, 2024
• Reviewer, Backdoor Attacks and Defenses in Machine Learning Workshop (BANDS) at ICLR 2023
• Reviewer, Backdoors in Deep Learning - The Good, the Bad, and the Ugly (BUGS) at NeurIPS 2023
• Reviewer, Proceedings of the National Academy of Sciences Nexus (PNAS Nexus)
• Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
• Reviewer, IEEE Transactions on Information Forensics & Security (IEEE TIFS)
• Reviewer, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
• Reviewer, ACM Transactions on Knowledge Discovery from Data (ACM TKDD)
• Artifact Evaluation Committee, USENIX Security Symposium, 2022
• Sub-reviewer, ACM Conference on Computer and Communications Security (CCS), 2022, 2023, 2024
• Sub-reviewer, ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024