| HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models T Guan, F Liu, X Wu, R Xian, Z Li, X Liu, X Wang, L Chen, F Huang, ... | 252 | 2023 |
| 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, G Bertasius, ... arXiv preprint arXiv:2401.10529, 2024 | 61 | 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, ... arXiv preprint arXiv:2403.09606, 2024 | 54 | 2024 |
| Cat: Causal audio transformer for audio classification X Liu, H Lu, J Yuan, X Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 26 | 2023 |
| Drm: Mastering visual reinforcement learning through dormant ratio minimization G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ... arXiv preprint arXiv:2310.19668, 2023 | 25 | 2023 |
| Explore Spurious Correlations at the Concept Level in Language Models for Text Classification Y Zhou, P Xu, X Liu, B An, W Ai, F Huang arXiv preprint arXiv:2311.08648, 2023 | 20* | 2023 |
| Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework J Li, Z Tang, X Liu, P Spirtes, K Zhang, L Leqi, Y Liu arXiv preprint arXiv:2403.08743, 2024 | 13 | 2024 |
| Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation Y Yang, X Liu, Q Jin, F Huang, Z Lu ArXiv, 2024 | 10 | 2024 |
| AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models X Wu, T Guan, D Li, S Huang, X Liu, X Wang, R Xian, A Shrivastava, ... arXiv preprint arXiv:2406.10900, 2024 | 7 | 2024 |
| Compact neural architecture designs by tensor representations J Su, J Li, X Liu, T Ranadive, C Coley, TC Tuan, F Huang Frontiers in artificial intelligence 5, 728761, 2022 | 7 | 2022 |
| Faster hyperparameter search on graphs via calibrated dataset condensation M Ding, X Liu, T Rabbani, F Huang NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022 | 7* | 2022 |
| Tuformer: Data-driven design of transformers for improved generalization or efficiency X Liu, J Su, F Huang The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 5 | 2022 |
| M3T: A new benchmark dataset for multi-modal document-level machine translation B Hsu, X Liu, H Li, Y Fujinuma, M Nadejde, X Niu, Y Kittenplon, R Litman, ... arXiv preprint arXiv:2406.08255, 2024 | 3 | 2024 |
| Using machine learning to determine the time of exposure to infection by a respiratory pathogen K Sharma, M Aminian, T Ghosh, X Liu, M Kirby Scientific Reports 13 (1), 5340, 2023 | 2 | 2023 |
| Explorations in very early prognosis of the human immune response to influenza M Chaturvedi, T Ghosh, M Kirby, X Liu, X Ma, S Stiverson Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 2 | 2016 |
| Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation Y Zhou, J Zhu, P Xu, X Liu, X Wang, D Koutra, W Ai, F Huang arXiv preprint arXiv:2406.13114, 2024 | 1 | 2024 |
| C-Disentanglement: discovering causally-independent generative factors under an inductive bias of confounder X Liu, J Yuan, B An, Y Xu, Y Yang, F Huang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Csrec: Rethinking sequential recommendation from a causal perspective X Liu, J Yuan, Y Zhou, J Li, F Huang, W Ai arXiv preprint arXiv:2409.05872, 2024 | | 2024 |
| conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks T Rabbani, J Su, X Liu, D Chan, G Sangston, F Huang arXiv preprint arXiv:2401.03384, 2024 | | 2024 |
Furong HuangAssociate Professor of Computer Science, University of MarylandVerified email at umd.edu
