Zhangchen Xu

According to our database, Zhangchen Xu authored at least 27 papers between 2023 and 2026.

Collaborative distances:

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

2026

Emergent Social Intelligence Risks in Generative Multi-Agent Systems.

Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang

CoRR, March, 2026

Distributed Consensus Network: A Modularized Communication Framework and Reliability Probabilistic Analysis.

Yuetai Li, Zhangchen Xu, Zihan Zhou, Yiqi Wang, Lei Zhang, Jon Crowcroft

IEEE Trans. Netw., 2026

2025

PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory.

Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory W. Wornell, Lyle H. Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor

CoRR, December, 2025

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data.

Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang

CoRR, October, 2025

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments.

Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda

CoRR, October, 2025

Steering Multimodal Large Language Models Decoding for Context-Aware Safety.

Zheyuan Liu, Zhangchen Xu, Guangyao Dou, Xiangchi Yuan, Zhaoxuan Tan, Radha Poovendran, Meng Jiang

CoRR, September, 2025

VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL.

Yichen Feng, Zhangchen Xu, Fengqing Jiang, Yuetai Li, Bhaskar Ramasubramanian, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

CoRR, May, 2025

SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge.

Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran

CoRR, May, 2025

Temporal Sampling for Forgotten Reasoning in LLMs.

Yuetai Li, Zhangchen Xu, Fengqing Jiang, Bhaskar Ramasubramanian, Luyao Niu, Bill Yuchen Lin, Xiang Yue, Radha Poovendran

CoRR, May, 2025

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning.

Zhangchen Xu, Yuetai Li, Fengqing Jiang, Bhaskar Ramasubramanian, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

CoRR, May, 2025

Stronger Models are Not Always Stronger Teachers for Instruction Tuning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding.

Zhangchen Xu, Yang Liu, Yueqin Yin, Mingyuan Zhou, Radha Poovendran

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

Small Models Struggle to Learn from Strong Reasoners.

Yuetai Li, Xiang Yue, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Bill Yuchen Lin, Bhaskar Ramasubramanian, Radha Poovendran

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

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.

Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran

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

ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

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

2024

Stronger Models are NOT Stronger Teachers for Instruction Tuning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Bill Yuchen Lin, Radha Poovendran

CoRR, 2024

Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran

CoRR, 2024

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran

Proceedings of the 33rd USENIX Security Symposium, 2024

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models.

Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran

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

Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran

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

ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

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

2023

Wireless Distributed Consensus in Vehicle to Vehicle Networks for Autonomous Driving.

Chenglin Feng, Zhangchen Xu, Xincheng Zhu, Paulo Valente Klaine, Lei Zhang

IEEE Trans. Veh. Technol., June, 2023

Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

CoRR, 2023

Exact Fault-Tolerant Consensus with Voting Validity.

Zhangchen Xu, Yuetai Li, Chenglin Feng, Lei Zhang

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023