Davis Liang - RankMe

29 papers A* 2Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes. EMNLP (Industry Track) Karen Zhou, John Michael Giorgi, Pranav Mani, Peng Xu, Davis Liang, Chenhao Tan
2025	J	`jnl`	From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes. CoRR Karen Zhou, John M. Giorgi, Pranav Mani, Peng Xu, Davis Liang, Chenhao Tan
2025	J	`jnl`	The Curious Language Model: Strategic Test-Time Information Acquisition. CoRR Michael Cooper, Rohan Wadhawan, John Michael Giorgi, Chenhao Tan, Davis Liang
2024	—	`conf`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2023	—	`conf`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	—	`conf`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	—	`conf`	Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang
2023	—	`conf`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2023	A*	`conf`	XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2023	J	`jnl`	XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2022	J	`jnl`	Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery. CoRR Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea
2021	J	`jnl`	Attention-guided Generative Models for Extractive Question Answering. CoRR Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang
2021	J	`jnl`	Multiplicative Position-aware Transformer Models for Language Understanding. CoRR Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2020	J	`jnl`	Decoding and Diversity in Machine Translation. CoRR Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton
2020	J	`jnl`	Embedding-based Zero-shot Retrieval through Query Generation. CoRR Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	—	`conf`	Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2020	J	`jnl`	Improve Transformer Models with Better Relative Position Embeddings. CoRR Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2020	A*	`conf`	Masked Language Model Scoring. ACL Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff
2020	J	`jnl`	TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang
2019	J	`jnl`	Pseudolikelihood Reranking with Masked Language Models. CoRR Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff
2018	—	`conf`	Learning Noise-Invariant Representations for Robust Speech Recognition. SLT Davis Liang, Zhiheng Huang, Zachary C. Lipton
2018	J	`jnl`	Learning Noise-Invariant Representations for Robust Speech Recognition. CoRR Davis Liang, Zhiheng Huang, Zachary C. Lipton
2017	—	`—`	Automated Multi-task Learning. Davis Liang
2017	—	`conf`	Deep Automated Multi-task Learning. IJCNLP(2) Davis Liang, Yan Shu
2017	J	`jnl`	Deep Automated Multi-task Learning. CoRR Davis Liang, Yan Shu