A Comparative Study of Methods for Transductive Transfer Learning. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ICDM Workshops, 2007)

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ACL, 2008)

Instance-based Transfer Learning for Multilingual Deep Retrieval. - Andrew O. Arnold; William W. Cohen (CoRR, 2019)

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu (EMNLP (1), 2020)

Faithful Embeddings for Knowledge Base Queries. - Haitian Sun; Andrew O. Arnold; Tania Bedrax-Weiss; Fernando Pereira 003; William W. Cohen (NeurIPS, 2020)

Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. - Haitian Sun; Andrew O. Arnold; Tania Bedrax-Weiss; Fernando Pereira 003; William W. Cohen (CoRR, 2020)

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Yifan Gao 001; Henghui Zhu; Patrick Ng; Cícero Nogueira dos Santos; Zhiguo Wang; Feng Nan; Dejiao Zhang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 2021)

Contrastive Fine-tuning Improves Robustness for Neural Rankers. - Xiaofei Ma 001; Cícero Nogueira dos Santos; Andrew O. Arnold (ACL/IJCNLP (Findings), 2021)

Improving Factual Consistency of Abstractive Summarization via Question Answering. - Feng Nan; Cícero Nogueira dos Santos; Henghui Zhu; Patrick Ng; Kathleen R. McKeown; Ramesh Nallapati; Dejiao Zhang; Zhiguo Wang; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 2021)

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Philip S. Yu (IEEE BigData, 2021)

Pairwise Supervised Contrastive Learning of Sentence Representations. - Dejiao Zhang; Shang-Wen Li 001; Wei Xiao 001; Henghui Zhu; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (EMNLP (1), 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2021)

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu; Isabel F. Cruz (WWW, 2021)

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. - Xiaokai Wei; Shen Wang 005; Dejiao Zhang; Parminder Bhatia; Andrew O. Arnold (CoRR, 2021)

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. - Zheng Li; Zijian Wang 002; Ming Tan; Ramesh Nallapati; Parminder Bhatia; Andrew O. Arnold; Bing Xiang; Dan Roth 001 (ACL (2), 2022)

Virtual Augmentation Supported Contrastive Learning of Sentence Representations. - Dejiao Zhang; Wei Xiao 001; Henghui Zhu; Xiaofei Ma 001; Andrew O. Arnold (ACL (Findings), 2022)

Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. - Mufan Sang; Haoqi Li; Fang Liu; Andrew O. Arnold; Li Wan (ICASSP, 2022)

Learning Dialogue Representations from Consecutive Utterances. - Zhihan Zhou 001; Dejiao Zhang; Wei Xiao 001; Nicholas Dingwall; Xiaofei Ma 001; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2022)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henghui Zhu; Xinchi Chen; Peng Xu; Zhiheng Huang; Andrew O. Arnold; Dan Roth 001 (NAACL-HLT (Findings), 2022)

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Andy T. Liu; Wei Xiao 001; Henghui Zhu; Dejiao Zhang; Shang-Wen Li 001; Andrew O. Arnold (CoRR, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henry Zhu; Xinchi Chen; Zhiheng Huang; Peng Xu; Andrew O. Arnold; Dan Roth 001 (CoRR, 2022)

Debiasing Neural Retrieval via In-batch Balancing Regularization. - Yuantong Li; Xiaokai Wei; Zijian Wang 002; Shen Wang 005; Parminder Bhatia; Xiaofei Ma 001; Andrew O. Arnold (CoRR, 2022)

Uncertainty-Based Active Learning for Reading Comprehension. - Jing Wang; Jie Shen; Xiaofei Ma 001; Andrew O. Arnold (Trans. Mach. Learn. Res., 2022)