Andrew O. Arnold

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 32

Top Topics

Graph Representation

Top Venues

Publications

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 (2022)
Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR (2022)
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)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. CoRR (2022)
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)
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)
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 (2022)
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)
Jing Wang, Jie Shen, Xiaofei Ma, Andrew O. Arnold
Uncertainty-Based Active Learning for Reading Comprehension. Trans. Mach. Learn. Res. 2022 (2022)
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 (2022)
Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. ACL (Findings) (2022)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT (2022)
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 (2021)
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)
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)
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 (2021)
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR (2021)
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)
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)
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)
Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold
Contrastive Fine-tuning Improves Robustness for Neural Rankers. CoRR (2021)
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 (2021)
Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold
Virtual Augmentation Supported Contrastive Learning of Sentence Representations. CoRR (2021)
Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold
Contrastive Fine-tuning Improves Robustness for Neural Rankers. ACL/IJCNLP (Findings) (2021)
Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. CoRR (2021)
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)
Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR (2021)
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 (2020)
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)
Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
Faithful Embeddings for Knowledge Base Queries. NeurIPS (2020)
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 (2020)
Andrew O. Arnold, William W. Cohen
Instance-based Transfer Learning for Multilingual Deep Retrieval. CoRR (2019)
Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL (2008)
Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops (2007)