Davis Liang

According to our database, Davis Liang authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

CoRR, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Co-training and Co-distillation for Quality Improvement and Compression of Language Models.

Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Hashtags for Short-form Videos with Guided Signals.

Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models.

Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery.

Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea

CoRR, 2022

2021

Attention-guided Generative Models for Extractive Question Answering.

Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang

CoRR, 2021

Multiplicative Position-aware Transformer Models for Language Understanding.

Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang

CoRR, 2021

2020

Decoding and Diversity in Machine Translation.

Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton

CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.

Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

CoRR, 2020

TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding.

Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang

CoRR, 2020

Improve Transformer Models with Better Relative Position Embeddings.

Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Masked Language Model Scoring.

Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Pseudolikelihood Reranking with Masked Language Models.

Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff

CoRR, 2019

2018

Learning Noise-Invariant Representations for Robust Speech Recognition.

Davis Liang, Zhiheng Huang, Zachary C. Lipton

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2017

Automated Multi-task Learning.

Davis Liang

PhD thesis, 2017

Deep Automated Multi-task Learning.

Davis Liang, Yan Shu

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017