Следене
Wenliang Dai
Wenliang Dai
Research Scientist, NVIDIA
Потвърден имейл адрес: nvidia.com - Начална страница
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Позовавания
Позовавания
Година
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
5606*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
34622022
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
1827*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
11202022
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
1662020
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
1052022
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
T Yu*, W Dai*, Z Liu, P Fung
EMNLP 2021, 2021
842021
Multimodal End-to-End Sparse Model for Emotion Recognition
W Dai, S Cahyawijaya, Z Liu, P Fung
NAACL 2021, 2021
832021
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
692023
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
562023
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
472020
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
422023
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition
W Dai, Z Liu, T Yu, P Fung
AACL-IJCNLP 2020, 269–280, 2020
392020
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
342021
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
252024
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
242023
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
192023
Weakly-supervised multi-task learning for multimodal affect recognition
W Dai, S Cahyawijaya, Y Bang, P Fung
arXiv preprint arXiv:2104.11560, 2021
152021
BART-based Approach for Scientific Document Summarization
T Yu, D Su, W Dai, P Fung
Proceedings of the First Workshop on Scholarly Document Processing, EMNLP …, 2020
15*2020
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