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2020 – today
- 2024
[c10]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: 749-775- 2023
- [c9]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: 9482-9495 - [c8]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: 11239-11246 - [c7]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: 3412-3444 - [c6]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: 7458-7467 - [c5]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: 13142-13152 - [i15]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 abs/2301.10472 (2023) - [i14]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 abs/2305.18239 (2023) - [i13]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 abs/2308.16884 (2023) - [i12]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 abs/2311.02849 (2023) - [i11]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 abs/2312.04032 (2023) - 2022
- [i10]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 abs/2210.07467 (2022) - 2021
- [i9]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Multiplicative Position-aware Transformer Models for Language Understanding. CoRR abs/2109.12788 (2021) - [i8]Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang:
Attention-guided Generative Models for Extractive Question Answering. CoRR abs/2110.06393 (2021) - 2020
- [c4]Julian Salazar
, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff:
Masked Language Model Scoring. ACL 2020: 2699-2712 - [c3]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) 2020: 3327-3335 - [i7]Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang:
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR abs/2003.07000 (2020) - [i6]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 abs/2009.10270 (2020) - [i5]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. CoRR abs/2009.13658 (2020) - [i4]Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton:
Decoding and Diversity in Machine Translation. CoRR abs/2011.13477 (2020)
2010 – 2019
- 2019
- [i3]Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff:
Pseudolikelihood Reranking with Masked Language Models. CoRR abs/1910.14659 (2019) - 2018
- [c2]Davis Liang, Zhiheng Huang, Zachary C. Lipton:
Learning Noise-Invariant Representations for Robust Speech Recognition. SLT 2018: 56-63 - [i2]Davis Liang, Zhiheng Huang, Zachary C. Lipton:
Learning Noise-Invariant Representations for Robust Speech Recognition. CoRR abs/1807.06610 (2018) - 2017
- [b1]Davis Liang:
Automated Multi-task Learning. University of California, San Diego, USA, 2017 - [c1]Davis Liang, Yan Shu:
Deep Automated Multi-task Learning. IJCNLP(2) 2017: 55-60 - [i1]Davis Liang, Yan Shu:
Deep Automated Multi-task Learning. CoRR abs/1709.05554 (2017)
Coauthor Index
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last updated on 2024-09-26 01:00 CEST by the dblp team
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