| Mitigating hallucination in large multi-modal models via robust instruction tuning F Liu, K Lin, L Li, J Wang, Y Yacoob, L Wang (ICLR 2024) International Conference on Learning Representations, 2024 | 412* | 2024 |
| HallusionBench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models F Liu*, T Guan*, X Wu, R Xian, Z Li, X Liu, X Wang, L Chen, F Huang, ... (CVPR 2024) Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2024 | 284* | 2024 |
| Visual News: Benchmark and Challenges in News Image Captioning F Liu, Y Wang, T Wang, V Ordonez (EMNLP 2021) Conference on Empirical Methods in Natural Language Processing, 2021 | 132* | 2021 |
| 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, ... (NAACL 2025) Annual Conference of the Nations of the Americas Chapter of the …, 2025 | 130* | 2025 |
| MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning F Liu, X Wang, W Yao, J Chen, K Song, S Cho, Y Yacoob, D Yu (NAACL 2024) Annual Conference of the Nations of the Americas Chapter of the …, 2024 | 101 | 2024 |
| 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, ... (ACL 2024) The 62nd Annual Meeting of the Association for Computational …, 2024 | 64 | 2024 |
| Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders F Liu*, M Shi*, S Wang, S Liao, S Radhakrishnan, DA Huang, H Yin, ... (ICLR 2025) International Conference on Learning Representations, 2025 | 46 | 2025 |
| Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps F Liu, P Xu, Z Li, Y Feng, H Song SciForDL Workshop, NeurIPS 2024, 2023 | 40 | 2023 |
| COVID-VTS: Fact Extraction and Verification on Short Video Platforms F Liu, Y Yacoob, A Shrivastava (EACL 2023) European Chapter of the Association for Computational Linguistics, 2023 | 35 | 2023 |
| On the safety concerns of deploying llms/vlms in robotics: Highlighting the risks and vulnerabilities X Wu, R Xian, T Guan, J Liang, S Chakraborty, F Liu, BM Sadler, ... (VLADR 2024) First Vision and Language for Autonomous Driving and Robotics …, 2024 | 25* | 2024 |
| DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents F Liu, H Tan, C Tensmeyer (ICPRAI 2024) International Conference on Pattern Recognition and Artificial …, 2023 | 24 | 2023 |
| From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond H Fei, Y Yao, Z Zhang, F Liu, A Zhang, TS Chua (LREC-COLING 2024) Proceedings of the 2024 Joint International Conference on …, 2024 | 20 | 2024 |
| Mosaic it: Enhancing instruction tuning with data mosaics M Li, P Chen, C Wang, H Zhao, Y Liang, Y Hou, F Liu, T Zhou arXiv e-prints, arXiv: 2405.13326, 2024 | 6 | 2024 |
| Prediction of CRISPR On-Target Effects via Deep Learning C Bao, F Liu Proceedings of the 1st Workshop on NLP for Science (NLP4Science), 2024 | 2* | 2024 |
| SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition X Wang, R Xian, T Guan, F Liu, D Manocha (IROS 2024) International Conference on Intelligent Robots and Systems, 2024 | 2* | 2024 |
| From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond H Fei, X Li, H Liu, F Liu, Z Zhang, H Zhang, S Yan ACM Multimedia 2024, 2024 | 1 | 2024 |
| AIDE: Agentically Improve Visual Language Model with Domain Experts MC Chiu, F Liu, K Sapra, A Tao, Y Jacoob, X Ma, Z Yu, G Liu arXiv preprint arXiv:2502.09051, 2025 | | 2025 |
| DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments X Wang, P Sandoval-Segura, C Zhang, J Huang, T Guan, R Xian, F Liu, ... arXiv preprint arXiv:2412.20042, 2024 | | 2024 |
Yaser YacoobUniversity of Maryland, College ParkVerificeret mail på umd.edu