Bing Xiang

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 134

Top Venues

CoRR

ACL (1)

EMNLP (1)

ACL (2)

Publications

Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Code Representation Learning At Scale. CoRR (2024)
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR (2023)
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR (2023)
Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR (2023)
Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR (2023)
Wuwei Lan, Zhiguo Wang, Anuj Chauhan, Henghui Zhu, Alexander Hanbo Li, Jiang Guo, Sheng Zhang, Chung-Wei Hang, Joseph Lilien, Yiqun Hu, Lin Pan, Mingwen Dong, Jun Wang, Jiarong Jiang, Stephen Ash, Vittorio Castelli, Patrick Ng, Bing Xiang
UNITE: A Unified Benchmark for Text-to-SQL Evaluation. CoRR (2023)
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR (2023)
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR (2023)
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
Exploring Continual Learning for Code Generation Models. CoRR (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR (2023)
Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR (2023)
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) (2023)
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
A Static Evaluation of Code Completion by Large Language Models. CoRR (2023)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) (2023)
Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. ACL (Findings) (2023)
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR (2023)
Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR (2023)
Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
Self-consistency for open-ended generations. CoRR (2023)
Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) (2023)
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR (2023)
Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) (2023)
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
Exploring Continual Learning for Code Generation Models. ACL (2) (2023)
Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) (2023)
Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE (2023)
Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
Benchmarking Diverse-Modal Entity Linking with Generative Models. ACL (Findings) (2023)
Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS (2023)
Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR (2022)
Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
Learning Dialogue Representations from Consecutive Utterances. CoRR (2022)
Sheng Zhang, Patrick Ng, Zhiguo Wang, Bing Xiang
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction. CoRR (2022)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR (2022)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR (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)
Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. EMNLP (Industry Track) (2022)
Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. AAAI (2022)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
Multi-lingual Evaluation of Code Generation Models. CoRR (2022)
Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
ReCode: Robustness Evaluation of Code Generation Models. CoRR (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)
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. CoRR (2022)
Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Ramesh Nallapati, Bing Xiang, Sudipta Sengupta
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. CoRR (2022)
Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. AAAI (2021)
Yang Li, Ben Athiwaratkun, Cícero Nogueira dos Santos, Bing Xiang
Joint Text and Label Generation for Spoken Language Understanding. CoRR (2021)
Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang
Contrastive Document Representation Learning with Graph Attention Networks. EMNLP (Findings) (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)
Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL (2021)
Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang
Attention-guided Generative Models for Extractive Question Answering. CoRR (2021)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Multiplicative Position-aware Transformer Models for Language Understanding. CoRR (2021)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) (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)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. CoRR (2021)
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Structured Prediction as Translation between Augmented Natural Languages. ICLR (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)
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR (2021)
Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. ACL/IJCNLP (1) (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)
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Structured Prediction as Translation between Augmented Natural Languages. CoRR (2021)
Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang
Contrastive Document Representation Learning with Graph Attention Networks. CoRR (2021)
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang
Entity-level Factual Consistency of Abstractive Text Summarization. EACL (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)
Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. 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. 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)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Improve Transformer Models with Better Relative Position Embeddings. CoRR (2020)
Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) (2020)
Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
Augmented Natural Language for Generative Sequence Labeling. CoRR (2020)
Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. CoRR (2020)
Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Embedding-based Zero-shot Retrieval through Query Generation. CoRR (2020)
Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Beyond [CLS] through Ranking by Generation. EMNLP (1) (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)
Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
Augmented Natural Language for Generative Sequence Labeling. EMNLP (1) (2020)
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI (2020)
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL (2020)
Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Beyond [CLS] through Ranking by Generation. CoRR (2020)
Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) (2020)
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) (2020)
Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference (2020)
Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR (2020)
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR (2020)
Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR (2020)
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR (2019)
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR (2019)
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
Topic Modeling with Wasserstein Autoencoders. CoRR (2019)
Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP (2019)
Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
Universal Text Representation from BERT: An Empirical Study. CoRR (2019)
Zhiheng Huang, Bing Xiang
WeNet: Weighted Networks for Recurrent Network Architecture Search. CoRR (2019)
Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
Passage Ranking with Weak Supervsion. CoRR (2019)
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR (2019)
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR (2019)
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
Topic Modeling with Wasserstein Autoencoders. ACL (1) (2019)
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) (2019)
Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. ACL (2) (2018)
Ran Ding, Ramesh Nallapati, Bing Xiang
Coherence-Aware Neural Topic Modeling. CoRR (2018)
Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. CoRR (2018)
Ran Ding, Ramesh Nallapati, Bing Xiang
Coherence-Aware Neural Topic Modeling. EMNLP (2018)
Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM (2017)
Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou
Group Sparse CNNs for Question Classification with Answer Sets. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bing Xiang