Davis Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
3
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes. | Karen Zhou, John Michael Giorgi, Pranav Mani, Peng Xu, Davis Liang, Chenhao Tan |
| 2024 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2020 | ACL | Masked Language Model Scoring. | Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff |
| 2020 | EMNLP | Improve Transformer Models with Better Relative Position Embeddings. | Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang |
| 2017 | IJCNLP | Deep Automated Multi-task Learning. | Davis Liang, Yan Shu |