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ORCIDAndrew O. Arnold
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2020 – today
- 2022
[j1]Jing Wang, Jie Shen, Xiaofei Ma, Andrew O. Arnold:
Uncertainty-Based Active Learning for Reading Comprehension. Trans. Mach. Learn. Res. 2022 (2022)- [c17]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c16]Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold:
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. ACL (Findings) 2022: 864-876 - [c15]Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan:
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. ICASSP 2022: 6127-6131 - [c14]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [c13]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT 2022: 754-768 - [c12]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao
, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT 2022: 4764-4780 - [i16]Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold:
QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. CoRR abs/2203.01543 (2022) - [i15]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i14]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i13]Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold:
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR abs/2205.09240 (2022) - [i12]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. CoRR abs/2205.13568 (2022) - 2021
- [c11]Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold:
Contrastive Fine-tuning Improves Robustness for Neural Rankers. ACL/IJCNLP (Findings) 2021: 570-582 - [c10]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) 2021: 3263-3276 - [c9]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) 2021: 6881-6894 - [c8]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData 2021: 540-549 - [c7]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) 2021: 5786-5798 - [c6]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [c5]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz:
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW 2021: 1761-1771 - [i11]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i10]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR abs/2105.04623 (2021) - [i9]Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold:
Contrastive Fine-tuning Improves Robustness for Neural Rankers. CoRR abs/2105.12932 (2021) - [i8]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR abs/2109.05424 (2021) - [i7]Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold:
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR abs/2110.08455 (2021) - [i6]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR abs/2110.08534 (2021) - [i5]Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold:
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. CoRR abs/2110.08552 (2021) - [i4]Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan:
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. CoRR abs/2112.04459 (2021) - 2020
- [c4]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu:
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) 2020: 4952-4962 - [c3]Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen:
Faithful Embeddings for Knowledge Base Queries. NeurIPS 2020 - [i3]Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen:
Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. CoRR abs/2004.03658 (2020) - [i2]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR abs/2011.13137 (2020)
2010 – 2019
- 2019
- [i1]Andrew O. Arnold, William W. Cohen:
Instance-based Transfer Learning for Multilingual Deep Retrieval. CoRR abs/1911.06111 (2019)
2000 – 2009
- 2008
- [c2]Andrew O. Arnold, Ramesh Nallapati, William W. Cohen:
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL 2008: 245-253 - 2007
- [c1]Andrew O. Arnold, Ramesh Nallapati, William W. Cohen:
A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops 2007: 77-82
Coauthor Index
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