Davis Liang

Cited by

	All	Since 2019
Citations	969	966
h-index	9	9
i10-index	9	9

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20182019202020212022202320243 19 45 118 200 276 307

Co-authors

zhiheng huangAmazon AWS AIVerified email at amazon.com
Julian SalazarGoogle DeepMindVerified email at google.com
Peng XuStanford UniversityVerified email at stanford.edu
Toan Q NguyenZoomVerified email at zoom.us
Madian KhabsaGenAI, MetaVerified email at fb.com
Rui HouResearch Scientist at Meta GenAIVerified email at meta.com
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Yuning MaoGenAI, MetaVerified email at fb.com
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Naman GoyalFacebook AI ResearchVerified email at gatech.edu
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Hila GonenPostdoctoral Researcher at UWVerified email at mail.huji.ac.il
Mikel ArtetxeReka AIVerified email at reka.ai
Benjamin MullerResearcher at MetaVerified email at meta.com
Lucas BandarkarUCLAVerified email at cs.ucla.edu
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Graham NeubigCarnegie Mellon University, All Hands AIVerified email at cs.cmu.edu
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
Hanchao YuAI at MetaVerified email at illinois.edu
Hayeon LeePostdoctoral Researcher, Meta AI (FAIR)Verified email at meta.com

Davis Liang

Staff Research Scientist, Abridge AI (Prev: Meta AI, Amazon AI)

Verified email at fb.com - Homepage

Machine Learning Natural Language Processing Neural Machine Translation Information Retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Masked Language Model Scoring J Salazar, D Liang, TQ Nguyen, K Kirchhoff ACL 2020, 2019	537	2019
Improve Transformer Models with Better Relative Position Embeddings Z Huang, D Liang, P Xu, B Xiang Findings of EMNLP 2020, 2020	128	2020
Learning noise-invariant representations for robust speech recognition D Liang, Z Huang, ZC Lipton IEEE SLT 2018, 2018	60	2018
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	53	2023
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, ...	41	2023
Embedding-based zero-shot retrieval through query generation D Liang, P Xu, S Shakeri, CN Santos, R Nallapati, Z Huang, B Xiang	40	2020
TRANS-BLSTM: Transformer with bidirectional LSTM for language understanding Z Huang, P Xu, D Liang, A Mishra, B Xiang	39	2020
Decoding and diversity in machine translation N Roberts, D Liang, G Neubig, ZC Lipton Resistance AI Workshop (NeurIPS 2020), 2020	27	2020
Attention-guided generative models for extractive question answering P Xu, D Liang, Z Huang, B Xiang	13	2021
Deep Automated Multi-task Learning D Liang, Y Shu IJCNLP 2017, 2017	9	2017
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	6	2023
Invariant representation learning for robust deep networks J Salazar, D Liang, Z Huang, Z Lipton	5	2018
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	3	2023
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	2	2023
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	2	2022
Automated Multi-task Learning D Liang University of California, San Diego, 2017	2	2017
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	1	2023
Multiplicative Position-aware Transformer Models for Language Understanding Z Huang, D Liang, P Xu, B Xiang	1	2021
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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