| Mitigating hallucination in large multi-modal models via robust instruction tuning F Liu, K Lin, L Li, J Wang, Y Yacoob, L Wang International Conference on Learning Representations (ICLR), 2024, 2023 | 347* | 2023 |
| 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, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 222 | 2024 |
| Visual News: Benchmark and Challenges in News Image Captioning F Liu, Y Wang, T Wang, V Ordonez Empirical Methods in Natural Language Processing (EMNLP), 2021, 2021 | 130* | 2021 |
| 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 North American Chapter of Association for Computational Linguistics (NAACL …, 2024 | 74 | 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, ... Association for Computational Linguistics (ACL), 2024, 2024 | 52 | 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 | 47 | 2024 |
| 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 | 35 | 2023 |
| COVID-VTS: Fact Extraction and Verification on Short Video Platforms F Liu, Y Yacoob, A Shrivastava European Chapter of the Association for Computational Linguistics (EACL), 2023, 2023 | 35 | 2023 |
| DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents F Liu, H Tan, C Tensmeyer ICPRAI International Conference on Pattern Recognition and Artificial …, 2023 | 25 | 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, ... First Vision and Language for Autonomous Driving and Robotics Workshop, 2024 | 18* | 2024 |
| 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 International Conference on Computational Linguistics (COLING), 2024, 2024 | 15 | 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, ... arXiv preprint arXiv:2408.15998, 2024 | 14 | 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 preprint arXiv:2405.13326, 2024 | 5 | 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 International Conference on Intelligent Robots and Systems (IROS), 2024, 2024 | 1* | 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 | | 2024 |
| IndianRoad: A Video Dataset of Diverse Atomic Visual Elements in Dense and Unpredictable Environments X Wang, P Sandoval-Segura, T Guan, R Xian, F Liu, R Chandra, B Gong, ... | | 2024 |
Yaser YacoobUniversity of Maryland, College ParkVerified email at umd.edu
