| InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning W Dai, J Li, D Li, AMH Tiong, J Zhao, W Wang, B Li, P Fung, S Hoi 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 6007* | 2023 |
| Survey of Hallucination in Natural Language Generation Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii, Y Bang, W Dai, A Madotto, ... ACM Computing Surveys, 2022 | 3587 | 2022 |
| A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Y Bang, S Cahyawijaya, N Lee, W Dai, D Su, B Wilie, H Lovenia, Z Ji, ... AACL 2023 - Area Chair Award (Language Modeling and Analysis), 2023 | 1873* | 2023 |
| NusaCrowd: Open Source Initiative for Indonesian NLP Resources S Cahyawijaya, H Lovenia, AF Aji, GI Winata, B Wilie, R Mahendra, ... Findings of ACL 2023, 2022 | 1120 | 2022 |
| CrossNER: Evaluating Cross-Domain Named Entity Recognition Z Liu, Y Xu, T Yu, W Dai, Z Ji, S Cahyawijaya, A Madotto, P Fung The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2020 | 168 | 2020 |
| Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation W Dai, L Hou, L Shang, X Jiang, Q Liu, P Fung Findings of ACL 2022, 2022 | 105 | 2022 |
| Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization T Yu*, W Dai*, Z Liu, P Fung EMNLP 2021, 2021 | 84 | 2021 |
| Multimodal End-to-End Sparse Model for Emotion Recognition W Dai, S Cahyawijaya, Z Liu, P Fung NAACL 2021, 2021 | 84 | 2021 |
| Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training W Dai, Z Liu, Z Ji, D Su, P Fung EACL 2023, 2023 | 70 | 2023 |
| Negative object presence evaluation (nope) to measure object hallucination in vision-language models H Lovenia, W Dai, S Cahyawijaya, Z Ji, P Fung Proceedings of the 3rd Workshop on Advances in Language and Vision Research …, 2023 | 61 | 2023 |
| Multi-hop Question Generation with Graph Convolutional Network D Su, Y Xu, W Dai, Z Ji, T Yu, P Fung Findings of EMNLP 2020, 4636–4647, 2020 | 47 | 2020 |
| Visual Instruction Tuning with Polite Flamingo D Chen, J Liu, W Dai, B Wang The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), 2023 | 45 | 2023 |
| Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition W Dai, Z Liu, T Yu, P Fung AACL-IJCNLP 2020, 269–280, 2020 | 40 | 2020 |
| BERT-Based Multi-Task Learning for Offensive Language Detection W Dai, T Yu, Z Liu, P Fung Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2060–2066, 2020 | 35* | 2020 |
| ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation H Lovenia, S Cahyawijaya, GI Winata, P Xu, X Yan, Z Liu, R Frieske, T Yu, ... LREC 2022, 2021 | 34 | 2021 |
| NVLM: Open Frontier-Class Multimodal LLMs W Dai, N Lee, B Wang, Z Yang, Z Liu, J Barker, T Rintamaki, M Shoeybi, ... arXiv preprint arXiv:2409.11402, 2024 | 31 | 2024 |
| mCLIP: Multilingual CLIP via Cross-lingual Transfer G Chen, L Hou, Y Chen, W Dai, L Shang, X Jiang, Q Liu, J Pan, W Wang ACL 2023, 2023 | 26 | 2023 |
| Survey of social bias in vision-language models N Lee, Y Bang, H Lovenia, S Cahyawijaya, W Dai, P Fung arXiv preprint arXiv:2309.14381, 2023 | 19 | 2023 |
| Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset T Yu, R Frieske, P Xu, S Cahyawijaya, CTS Yiu, H Lovenia, W Dai, ... LREC 2022, 2022 | 15 | 2022 |
| Weakly-supervised multi-task learning for multimodal affect recognition W Dai, S Cahyawijaya, Y Bang, P Fung arXiv preprint arXiv:2104.11560, 2021 | 15 | 2021 |
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
