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Davis Liang
Davis Liang
Staff Research Scientist, Abridge AI (Prev: Meta AI, Amazon AI)
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Title
Cited by
Cited by
Year
Masked Language Model Scoring
J Salazar, D Liang, TQ Nguyen, K Kirchhoff
ACL 2020, 2019
4772019
Improve Transformer Models with Better Relative Position Embeddings
Z Huang, D Liang, P Xu, B Xiang
Findings of EMNLP 2020, 2020
1182020
Learning noise-invariant representations for robust speech recognition
D Liang, Z Huang, ZC Lipton
IEEE SLT 2018, 2018
592018
Xlm-v: Overcoming the vocabulary bottleneck in multilingual masked language models
D Liang, H Gonen, Y Mao, R Hou, N Goyal, M Ghazvininejad, ...
EMNLP 2023, 2023
382023
Embedding-based zero-shot retrieval through query generation
D Liang, P Xu, S Shakeri, CN Santos, R Nallapati, Z Huang, B Xiang
372020
TRANS-BLSTM: Transformer with bidirectional LSTM for language understanding
Z Huang, P Xu, D Liang, A Mishra, B Xiang
342020
Decoding and diversity in machine translation
N Roberts, D Liang, G Neubig, ZC Lipton
Resistance AI Workshop (NeurIPS 2020), 2020
272020
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
L Bandarkar, D Liang, B Muller, M Artetxe, SN Shukla, D Husa, N Goyal, ...
212023
Attention-guided generative models for extractive question answering
P Xu, D Liang, Z Huang, B Xiang
122021
Deep Automated Multi-task Learning
D Liang, Y Shu
IJCNLP 2017, 2017
82017
Invariant representation learning for robust deep networks
J Salazar, D Liang, Z Huang, Z Lipton
52018
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
H Lee, R Hou, J Kim, D Liang, SJ Hwang, A Min
Findings of ACL 2023, 2023
42023
For distillation, tokens are not all you need
M Raman, P Mani, D Liang, Z Lipton
NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023
22023
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery
A Kazemi, A Abzaliev, N Deng, R Hou, D Liang, SA Hale, V Pérez-Rosas, ...
AACL 2023, 2022
22022
Automated Multi-task Learning
D Liang
University of California, San Diego, 2017
22017
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
J Kim, Y Mao, R Hou, H Yu, D Liang, P Fung, Q Wang, F Feng, L Huang, ...
Findings of the Association for Computational Linguistics: EMNLP 2023, 3412-3444, 2023
12023
Generating Hashtags for Short-form Videos with Guided Signals
T Yu, H Yu, D Liang, Y Mao, S Nie, PY Huang, M Khabsa, P Fung, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
12023
Multiplicative Position-aware Transformer Models for Language Understanding
Z Huang, D Liang, P Xu, B Xiang
12021
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
H Lee, R Hou, J Kim, D Liang, H Zhang, SJ Hwang, A Min
Findings of EMNLP 2023, 2023
2023
Robustifying Language Models via Adversarial Training with Masked Gradient
J Kim, Y Mao, R Hou, H Yu, D Liang, P Fung, Q Wang, M Khabsa
Findings of EMNLP 2023, 2023
2023
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Articles 1–20