Alexander Hanbo Li

According to our database, Alexander Hanbo Li authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.

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

CoRR, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.

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

CoRR, 2023

UNITE: A Unified Benchmark for Text-to-SQL Evaluation.

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

CoRR, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.

Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.

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

CoRR, 2022

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.

Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang

CoRR, 2022

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding.

Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.

Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems.

Zhuoyi Wang, Saurabh Gupta, Jie Hao, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation.

Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering.

Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training.

Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Decomposed Adversarial Learned Inference.

Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao

CoRR, 2020

Semi-Supervised Learning for Text Classification by Layer Partitioning.

Alexander Hanbo Li, Abhinav Sethy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Censored Quantile Regression Forest.

Alexander Hanbo Li, Jelena Bradic

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Knowledge Enhanced Attention for Robust Natural Language Inference.

Alexander Hanbo Li, Abhinav Sethy

CoRR, 2019

Censored Quantile Regression Forests.

Alexander Hanbo Li, Jelena Bradic

CoRR, 2019

2017

Forest-type Regression with General Losses and Robust Forest.

Alexander Hanbo Li, Andrew Martin

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Boosting in the presence of outliers: adaptive classification with non-convex loss functions.

Alexander Hanbo Li, Jelena Bradic

CoRR, 2015