| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, CBC Zhang, M Shaaban, ... arXiv preprint arXiv:2501.14249, 2025 | 351 | 2025 |
| zkbridge: Trustless cross-chain bridges made practical T Xie, J Zhang, Z Cheng, F Zhang, Y Zhang, Y Jia, D Boneh, D Song ACM CCS 2022, Page 3003-3017, 2022 | 252 | 2022 |
| LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Z Zheng, Z Cheng, Z Shen, S Zhou, K Liu, H He, D Li, S Wei, H Hao, J Yao, ... NeurIPS 2025, 2025 | 22* | 2025 |
| Sakshi: Decentralized AI Platforms S Bhat, C Chen, Z Cheng, Z Fang, A Hebbar, S Kannan, R Rana, P Sheng, ... arXiv preprint arXiv:2307.16562, 2023 | 12* | 2023 |
| SPIN-Bench: How Well do LLMs Plan Strategically and Reason Socially? J Yao, K Wang, R Hsieh, H Zhou, T Zou, Z Cheng, Z Wang, P Viswanath COLM 2025, 2025 | 11 | 2025 |
| Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm C Chen, Z Cheng, S Qu, Z Fang APNET 2023, Page 174-175, 2023 | 7 | 2023 |
| OML: Open, Monetizable, and Loyal AI Z Cheng, E Contente, B Finch, O Golev, J Hayase, A Miller, N Moshrefi, ... NeurIPS 2025 Lock-LLM Workshop, 2025 | 5 | 2025 |
| Benchmarking is Broken-Don't Let AI be its Own Judge Z Cheng, S Wohnig, R Gupta, S Alam, T Abdullahi, JA Ribeiro, ... NeurIPS 2025, 2025 | 3* | 2025 |
| AutoCode: LLMs as Problem Setters for Competitive Programming S Zhou, Z Zheng, K Liu, Z Shen, Z Cheng, Z Chen, H He, J Yao, H Mao, ... arXiv preprint arXiv:2510.12803, 2025 | 2 | 2025 |
| FrontierCS: Evolving Challenges for Evolving Intelligence Q Mang, W Chai, Z Li, H Mao, S Zhou, A Du, H Li, S Liu, E Chen, Y Wang, ... arXiv preprint arXiv:2512.15699, 2025 | | 2025 |
| Nondeterminism-Aware Optimistic Verification for Floating-Point Neural Networks J Yao, H Su, T Liao, Z Cheng, H Zhang, X Wang, P Viswanath arXiv preprint arXiv:2510.16028, 2025 | | 2025 |
| From Human-Centric to Agent-Native: Building Trustless Payment Infrastructure for Agentic AI S Shi, Z Cheng, C Xi, Y Huang, L Li, U Marwaha, D Weber, C Zhang Kite AI Whitepaper, 2025 | | 2025 |
| When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets Z Dai, Z Peng, Z Cheng, RY Li arXiv preprint arXiv:2510.00332, 2025 | | 2025 |
| OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution Z Cheng, E Contente, BT Finch, OA Golev, J Hayase, A Miller, N Moshrefi, ... Lock-LLM Workshop: Prevent Unauthorized Knowledge Use from Large Language Models, 2025 | | 2025 |
Pramod ViswanathForrest G. Hamrick Professor in EngineeringVerified email at princeton.edu
