Shenzhe Zhu

According to our database, Shenzhe Zhu authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

Multi-User Large Language Model Agents.

Shu Yang, Shenzhe Zhu, Hao Zhu, José Ramón Enríquez, Di Wang, Alex Pentland, Michiel A. Bakker, Jiaxin Pei

CoRR, April, 2026

When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution.

Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao

CoRR, March, 2026

SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding.

Songcheng Cai, Zhiheng Lyu, Yuansheng Ni, Xiangchao Chen, Baichuan Zhou, Shenzhe Zhu, Yi Lu, Haozhe Wang, Chi Ruan, Benjamin Schneider, Weixu Zhang, Xiang Li, Andy Zheng, Yuyu Zhang, Ping Nie, Wenhu Chen

CoRR, March, 2026

2025

HarmTransform: Transforming Explicit Harmful Queries into Stealthy via Multi-Agent Debate.

Shenzhe Zhu

CoRR, December, 2025

Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs.

Shenzhe Zhu, Shu Yang, Michiel A. Bakker, Alex Pentland, Jiaxin Pei

CoRR, October, 2025

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets.

Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei

CoRR, June, 2025

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning.

Junchi Yao, Jianhua Xu, Tianyu Xin, Ziyi Wang, Shenzhe Zhu, Shu Yang, Di Wang

CoRR, May, 2025

JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model.

Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao

CoRR, April, 2025

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.

Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu

Trans. Mach. Learn. Res., 2025

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements.

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs.

Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang

CoRR, 2024

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems.

Shengxiang Sun, Shenzhe Zhu

CoRR, 2024

Exploring knowledge graph-based neural-symbolic system from application perspective.

Shenzhe Zhu, Shengxiang Sun

CoRR, 2024