| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 388 | 2024 |
| Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs AQ Jiang, S Welleck, JP Zhou, W Li, J Liu, M Jamnik, T Lacroix, Y Wu, ... The Eleventh International Conference on Learning Representations, 2022 | 146 | 2022 |
| TAFA: Two-headed attention fused autoencoder for context-aware recommendations JP Zhou, Z Cheng, F Pérez, M Volkovs Proceedings of the 14th ACM conference on recommender systems, 338-347, 2020 | 43 | 2020 |
| Unsupervised out-of-distribution detection with diffusion inpainting Z Liu, JP Zhou, Y Wang, KQ Weinberger International Conference on Machine Learning, 22528-22538, 2023 | 42 | 2023 |
| Magnushammer: A transformer-based approach to premise selection M Mikuła, S Antoniak, S Tworkowski, AQ Jiang, JP Zhou, C Szegedy, ... The Twelfth International Conference on Learning Representations, 2023 | 36 | 2023 |
| Don't Trust: Verify--Grounding LLM Quantitative Reasoning with Autoformalization JP Zhou, CE Staats, W Li, C Szegedy, KQ Weinberger, Y Wu The Twelfth International Conference on Learning Representations, 2023 | 21 | 2023 |
| Does Label Differential Privacy Prevent Label Inference Attacks? R Wu, JP Zhou, KQ Weinberger, C Guo International Conference on Artificial Intelligence and Statistics 206, 4336 …, 2023 | 15 | 2023 |
| Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation H Yang, S Sanner, G Wu, JP Zhou Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021 | 10 | 2021 |
| Not my deepfake: Towards plausible deniability for machine-generated media B Zhang, JP Zhou, I Shumailov, N Papernot arXiv e-prints, arXiv: 2008.09194, 2020 | 10 | 2020 |
| Predicting Twitter Engagement With Deep Language Models M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ... Proceedings of the Recommender Systems Challenge 2020, 38-43, 2020 | 7 | 2020 |
| REFACTOR: Learning to Extract Theorems from Proofs JP Zhou, Y Wu, C Li, R Grosse The Twelfth International Conference on Learning Representations, 2023 | 6 | 2023 |
| Two-headed attention fused autoencoder for context-aware recommendation M Volkovs, JF Vallejo, JP Zhou, Z Cheng US Patent App. 17/405,939, 2022 | 6 | 2022 |
| Code repair with llms gives an exploration-exploitation tradeoff H Tang, K Hu, J Zhou, SC Zhong, WL Zheng, X Si, K Ellis Advances in Neural Information Processing Systems 37, 117954-117996, 2025 | 5 | 2025 |
| Learned Systems Security R Schuster, JP Zhou, T Eisenhofer, P Grubbs, N Papernot arXiv preprint arXiv:2212.10318, 2022 | 3 | 2022 |
| Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering JP Zhou, G Wu, Z Mai, S Sanner arXiv preprint arXiv:2008.01246, 2020 | 3 | 2020 |
| Correction with Backtracking Reduces Hallucination in Summarization Z Liu, C Wan, V Kishore, JP Zhou, M Chen, KQ Weinberger arXiv preprint arXiv:2310.16176, 2023 | 2 | 2023 |
| Orchestrating LLMs with Different Personalizations JP Zhou, KZ Luo, J Gu, J Yuan, KQ Weinberger, W Sun arXiv preprint arXiv:2407.04181, 2024 | 1 | 2024 |
| Attention to Quantum Complexity H Kim, Y Zhou, Y Xu, K Varma, AH Karamlou, IT Rosen, JC Hoke, C Wan, ... arXiv preprint arXiv:2405.11632, 2024 | 1 | 2024 |
| Zero-shot Object-Level OOD Detection with Context-Aware Inpainting QH Nguyen, JP Zhou, Z Liu, KH Bui, KQ Weinberger, DD Le arXiv preprint arXiv:2402.03292, 2024 | 1 | 2024 |
| On Speeding Up Language Model Evaluation JP Zhou, CK Belardi, R Wu, T Zhang, CP Gomes, W Sun, KQ Weinberger arXiv preprint arXiv:2407.06172, 2024 | | 2024 |