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Shang-Wen Daniel Li
Shang-Wen Daniel Li
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Title
Cited by
Cited by
Year
Dinov2: Learning robust visual features without supervision
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
arXiv preprint arXiv:2304.07193, 2023
2484*2023
The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
1551*2024
SUPERB: Speech processing Universal PERformance Benchmark
S Yang, PH Chi, YS Chuang, CIJ Lai, K Lakhotia, YY Lin, AT Liu, J Shi, ...
Interspeech 2021, 2021
9352021
Tera: Self-supervised learning of transformer encoder representation for speech
AT Liu, SW Li, H Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2351-2366, 2021
4012021
Self-supervised speech representation learning: A review
A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1179-1210, 2022
3782022
Introducing meta llama 3: The most capable openly available llm to date
AI Meta
Meta AI, 2024
285*2024
Data-driven interaction techniques for improving navigation of educational videos
J Kim, PJ Guo, CJ Cai, SW Li, KZ Gajos, RC Miller
Proceedings of the 27th annual ACM symposium on User interface software and …, 2014
227*2014
Supporting Clustering with Contrastive Learning
D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ...
NAACL 2021, 2021
2222021
DiffCSE: Difference-based contrastive learning for sentence embeddings
YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljačić, SW Li, ...
arXiv preprint arXiv:2204.10298, 2022
2182022
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
PH Chi, PH Chung, TH Wu, CC Hsieh, SW Li, H Lee
SLT 2021, 2020
1892020
Scaling autoregressive multi-modal models: Pretraining and instruction tuning
L Yu, B Shi, R Pasunuru, B Muller, O Golovneva, T Wang, A Babu, B Tang, ...
arXiv preprint arXiv:2309.02591 2 (3), 2023
1222023
Lifelong pretraining: Continually adapting language models to emerging corpora
X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren
arXiv preprint arXiv:2110.08534, 2021
1202021
Demystifying clip data
H Xu, S Xie, XE Tan, PY Huang, R Howes, V Sharma, SW Li, G Ghosh, ...
arXiv preprint arXiv:2309.16671, 2023
1182023
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
HS Tsai, HJ Chang, WC Huang, Z Huang, K Lakhotia, S Yang, S Dong, ...
ACL 2022, 2022
1022022
Chameleon: Mixed-modal early-fusion foundation models
C Team
arXiv preprint arXiv:2405.09818, 2024
972024
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation
L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ...
arXiv preprint arXiv:2308.11596, 2023
902023
Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining
CI Lai, YS Chuang, HY Lee, SW Li, J Glass
ICASSP 2021, 2020
642020
Mavil: Masked audio-video learners
PY Huang, V Sharma, H Xu, C Ryali, Y Li, SW Li, G Ghosh, J Malik, ...
Advances in Neural Information Processing Systems 36, 2024
612024
Pairwise supervised contrastive learning of sentence representations
D Zhang, SW Li, W Xiao, H Zhu, R Nallapati, AO Arnold, B Xiang
EMNLP 2021, 2021
562021
Ml-superb: Multilingual speech universal performance benchmark
J Shi, D Berrebbi, W Chen, HL Chung, EP Hu, WP Huang, X Chang, ...
arXiv preprint arXiv:2305.10615, 2023
552023
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