Gemini: A family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 824 | 2023 |
Self-Alignment Pretraining for Biomedical Entity Representations F Liu, E Shareghi, Z Meng, M Basaldella, N Collier NAACL 2021, 2021 | 263 | 2021 |
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds F Liu*, S Li*, L Zhang, C Zhou, R Ye, Y Wang, J Lu ICCV 2017, 2017 | 143 | 2017 |
Pix2Struct: Screenshot parsing as pretraining for visual language understanding K Lee, M Joshi, I Turc, H Hu, F Liu, J Eisenschlos, U Khandelwal, P Shaw, ... ICML 2023, 2023 | 137 | 2023 |
Visually Grounded Reasoning across Languages and Cultures F Liu*, E Bugliarello*, EM Ponti, S Reddy, N Collier, D Elliott EMNLP 2021, 2021 | 110 | 2021 |
Visual Pivoting for (Unsupervised) Entity Alignment F Liu, M Chen, D Roth, N Collier AAAI 2021, 2021 | 109 | 2021 |
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders F Liu, I Vulić, A Korhonen, N Collier EMNLP 2021, 2021 | 105 | 2021 |
Visual Spatial Reasoning F Liu, G Emerson, N Collier TACL, 2023 | 95 | 2023 |
COMETA: A Corpus for Medical Entity Linking in the Social Media M Basaldella*, F Liu*, E Shareghi, N Collier EMNLP 2020, 2020 | 88 | 2020 |
Contrastive Out-of-Distribution Detection for Pretrained Transformers W Zhou, F Liu, M Chen EMNLP 2021, 2021 | 86 | 2021 |
Language models can see: plugging visual controls in text generation Y Su, T Lan, Y Liu, F Liu, D Yogatama, Y Wang, L Kong, N Collier arXiv preprint arXiv:2205.02655, 2022 | 80 | 2022 |
Large-scale urban point cloud labeling and reconstruction L Zhang, Z Li, A Li, F Liu ISPRS Journal of Photogrammetry and Remote Sensing 138, 86-100, 2018 | 78 | 2018 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 76 | 2024 |
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? G Chen, F Liu, Z Meng, S Liang EMNLP 2022, 2022 | 60 | 2022 |
TweetNLP: Cutting-Edge Natural Language Processing for Social Media J Camacho-Collados, K Rezaee, T Riahi, A Ushio, D Loureiro, D Antypas, ... EMNLP 2022 (demo track), 2022 | 59 | 2022 |
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks R Ye, F Liu, L Zhang Lecture Notes in Computer Science: Advances in Artificial Intelligence 11489 …, 2019 | 57 | 2019 |
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking F Liu, I Vulic, A Korhonen, N Collier ACL-IJCNLP 2021, 2021 | 53 | 2021 |
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Y Su, F Liu, Z Meng, L Shu, E Shareghi, N Collier NAACL-Findings 2022, 2022 | 50 | 2022 |
DePlot: One-shot visual language reasoning by plot-to-table translation F Liu*, JM Eisenschlos*, F Piccinno, S Krichene, C Pang, K Lee, M Joshi, ... ACL-Findings 2023, 2023 | 49 | 2023 |
A hierarchical methodology for urban facade parsing from TLS point clouds Z Li, L Zhang, PT Mathiopoulos, F Liu, L Zhang, S Li, H Liu ISPRS Journal of Photogrammetry and Remote Sensing 123, 75-93, 2017 | 48 | 2017 |