Davis Liang

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	All	Since 2018
Citations	603	603
h-index	8	8
i10-index	8	8

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2018201920202021202220233 19 43 116 193 227

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zhiheng huangAmazon AWS AIVerified email at amazon.com
Julian SalazarGoogle ResearchVerified email at google.com
Peng XuStanford UniversityVerified email at stanford.edu
Toan Q NguyenAmazonVerified email at amazon.com
Zachary C. LiptonProfessor of Machine Learning at Carnegie Mellon; CTO / CSO at AbridgeVerified email at cmu.edu
Rui HouResearch Scientist, Meta Generative AIVerified email at meta.com
Madian KhabsaGenAI, MetaVerified email at fb.com
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
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Hila GonenPostdoctoral Researcher at FAIR and UWVerified email at mail.huji.ac.il
Mikel ArtetxeReka AIVerified email at reka.ai
Veronica Perez-RosasUniversity of MichiganVerified email at umich.edu
Ashkan KazemiPhD Candidate at University of MichiganVerified email at umich.edu
Rada MihalceaProfessor of Computer Science, University of MichiganVerified email at umich.edu
Benjamin MullerResearcher at MetaVerified email at meta.com
Lucas BandarkarUCLAVerified email at cs.ucla.edu

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	350	2019
Improve Transformer Models with Better Relative Position Embeddings Z Huang, D Liang, P Xu, B Xiang Findings of EMNLP 2020, 2020	82	2020
Learning noise-invariant representations for robust speech recognition D Liang, Z Huang, ZC Lipton IEEE SLT 2018, 2018	54	2018
Embedding-based zero-shot retrieval through query generation D Liang, P Xu, S Shakeri, CN Santos, R Nallapati, Z Huang, B Xiang	31	2020
TRANS-BLSTM: Transformer with bidirectional LSTM for language understanding Z Huang, P Xu, D Liang, A Mishra, B Xiang	24	2020
Decoding and diversity in machine translation N Roberts, D Liang, G Neubig, ZC Lipton Resistance AI Workshop (NeurIPS 2020), 2020	18	2020
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	14	2023
Attention-guided generative models for extractive question answering P Xu, D Liang, Z Huang, B Xiang	10	2021
Deep Automated Multi-task Learning D Liang, Y Shu IJCNLP 2017, 2017	8	2017
Invariant representation learning for robust deep networks J Salazar, D Liang, Z Huang, Z Lipton	5	2018
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, ...	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
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	1	2023
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
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		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
Multiplicative Position-aware Transformer Models for Language Understanding Z Huang, D Liang, P Xu, B Xiang		2021

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