Ziqian Zhong

According to our database, Ziqian Zhong authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Base Models Look Human To AI Detectors.

Yixuan Even Xu, Ziqian Zhong, Aditi Raghunathan, Fei Fang, J. Zico Kolter

CoRR, May, 2026

Early Data Exposure Improves Robustness to Subsequent Fine-Tuning.

Lawrence Feng, Gaurav R. Ghosal, Jacob Mitchell Springer, Ziqian Zhong, Aditi Raghunathan

CoRR, May, 2026

Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories.

Ivan Bercovich, Ivgeni Segal, Kexun Zhang, Shashwat Saxena, Aditi Raghunathan, Ziqian Zhong

CoRR, April, 2026

Hodoscope: Unsupervised Monitoring for AI Misbehaviors.

Ziqian Zhong, Shashwat Saxena, Aditi Raghunathan

CoRR, April, 2026

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?

Ziqian Zhong, Aashiq Muhamed, Mona T. Diab, Virginia Smith, Aditi Raghunathan

CoRR, April, 2026

From Horizontal Layering to Vertical Integration: A Comparative Study of the AI-Driven Software Development Paradigm.

Chi Zhang, Zehan Li, Ziqian Zhong, Haibing Ma, Dan Xiao, Chen Lin, Ming Dong

CoRR, January, 2026

2025

Jailbreaking in the Haystack.

Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena, Ziqian Zhong, Alexander Robey, Aditi Raghunathan

CoRR, November, 2025

ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases.

Ziqian Zhong, Aditi Raghunathan, Nicholas Carlini

CoRR, October, 2025

Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs.

Ziqian Zhong, Aditi Raghunathan

CoRR, August, 2025

2024

Algorithmic Capabilities of Random Transformers.

Ziqian Zhong, Jacob Andreas

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Grokking as Compression: A Nonlinear Complexity Perspective.

Ziming Liu, Ziqian Zhong, Max Tegmark

CoRR, 2023

On Problems Related to Unbounded SubsetSum: A Unified Combinatorial Approach.

Mingyang Deng, Xiao Mao, Ziqian Zhong

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks.

Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

New Lower Bounds and Upper Bounds for Listing Avoidable Vertices.

Mingyang Deng, Virginia Vassilevska Williams, Ziqian Zhong

Proceedings of the 47th International Symposium on Mathematical Foundations of Computer Science, 2022

New Additive Approximations for Shortest Paths and Cycles.

Mingyang Deng, Yael Kirkpatrick, Victor Rong, Virginia Vassilevska Williams, Ziqian Zhong

Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022