| Escaping from saddle points—online stochastic gradient for tensor decomposition R Ge, F Huang, C Jin, Y Yuan Conference on learning theory, 797-842, 2015 | 1419 | 2015 |
| HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models TZ Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu ... | 727* | 2023 |
| Trustllm: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 647* | 2024 |
| Cold diffusion: Inverting arbitrary image transforms without noise A Bansal, E Borgnia, HM Chu, JS Li, H Kazemi, F Huang, M Goldblum, ... Thirty-seventh Conference on Neural Information Processing Systems, 2022 | 425 | 2022 |
| Autodan: interpretable gradient-based adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023 | 332* | 2023 |
| Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ... arXiv preprint arXiv:2103.02079, 2021 | 221* | 2021 |
| Position: On the Possibilities of AI-Generated Text Detection S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang Forty-first International Conference on Machine Learning, 2024 | 208* | 2024 |
| Convolutional Tensor-Train LSTM for Spatio-temporal Learning J Su, W Byeon, F Huang, J Kautz, A Anandkumar Advances in Neural Information Processing Systems, 2020 | 187 | 2020 |
| MaxMin-RLHF: Alignment with Diverse Human Preferences S Chakraborty, J Qiu, H Yuan, A Koppel, D Manocha, F Huang, A Bedi, ... Forty-first International Conference on Machine Learning, 2024 | 160* | 2024 |
| Learning deep resnet blocks sequentially using boosting theory F Huang, J Ash, J Langford, R Schapire International Conference on Machine Learning, 2058-2067, 2018 | 147 | 2018 |
| High-dimensional structure estimation in Ising models: Local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky The Annals of Statistics, 1346-1375, 2012 | 139 | 2012 |
| Tracevla: Visual trace prompting enhances spatial-temporal awareness for generalist robotic policies R Zheng, Y Liang, S Huang, J Gao, H Daumé III, A Kolobov, F Huang, ... arXiv preprint arXiv:2412.10345, 2024 | 126 | 2024 |
| Large language models and causal inference in collaboration: A comprehensive survey X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ... Findings of the Association for Computational Linguistics: NAACL 2025, 7668-7684, 2025 | 124 | 2025 |
| Mementos: A comprehensive benchmark for multimodal large language model reasoning over image sequences X Wang, Y Zhou, X Liu, H Lu, Y Xu, F He, J Yoon, T Lu, F Liu, G Bertasius, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 113 | 2024 |
| Can you learn an algorithm? generalizing from easy to hard problems with recurrent networks A Schwarzschild, E Borgnia, A Gupta, F Huang, U Vishkin, M Goldblum, ... Advances in Neural Information Processing Systems 34, 6695-6706, 2021 | 112 | 2021 |
| High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion A Anandkumar, VYF Tan, F Huang, AS Willsky The Journal of Machine Learning Research 13 (1), 2293-2337, 2012 | 112 | 2012 |
| Who is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Y Sun, R Zheng, Y Liang, F Huang The Tenth International Conference on Learning Representations, 2022 | 99 | 2022 |
| Understanding generalization through visualizations WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein PMLR, 2020 | 94 | 2020 |
| Towards possibilities & impossibilities of ai-generated text detection: A survey SS Ghosal, S Chakraborty, J Geiping, F Huang, D Manocha, AS Bedi arXiv preprint arXiv:2310.15264, 2023 | 81* | 2023 |
| Unmasking and quantifying racial bias of large language models in medical report generation Y Yang, X Liu, Q Jin, F Huang, Z Lu Communications medicine 4 (1), 176, 2024 | 80 | 2024 |
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
