Davis Liang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Venues

CoRR

EMNLP (Findings)

ACL (1)

EMNLP

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) (2024)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR (2023)
Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang
Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR (2023)
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP (2023)
Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR (2023)
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR (2023)
Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery. CoRR (2022)
Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang
Attention-guided Generative Models for Extractive Question Answering. CoRR (2021)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Multiplicative Position-aware Transformer Models for Language Understanding. CoRR (2021)
Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton
Decoding and Diversity in Machine Translation. CoRR (2020)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Improve Transformer Models with Better Relative Position Embeddings. CoRR (2020)
Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Embedding-based Zero-shot Retrieval through Query Generation. CoRR (2020)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) (2020)
Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR (2020)
Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff
Masked Language Model Scoring. ACL (2020)
Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff
Pseudolikelihood Reranking with Masked Language Models. CoRR (2019)
Davis Liang, Zhiheng Huang, Zachary C. Lipton
Learning Noise-Invariant Representations for Robust Speech Recognition. CoRR (2018)
Davis Liang, Zhiheng Huang, Zachary C. Lipton
Learning Noise-Invariant Representations for Robust Speech Recognition. SLT (2018)
Davis Liang, Yan Shu
Deep Automated Multi-task Learning. IJCNLP(2) (2017)
Davis Liang, Yan Shu
Deep Automated Multi-task Learning. CoRR (2017)

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Publication Activity (10 Years)

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Davis Liang