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2020 – today
- 2025
[i18]Naihao Deng, Sheng Zhang, Henghui Zhu, Shuaichen Chang, Jiani Zhang, Alexander Hanbo Li, Chung-Wei Hang, Hideo Kobayashi, Yiqun Hu, Patrick Ng:
Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models. CoRR abs/2501.14717 (2025)- 2023
- [c15]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: 1327-1343 - [c14]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: 2333-2346 - [c13]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: 7841-7857 - [c12]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: 16171-16189 - [c11]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 - [c10]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 - [i17]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 abs/2301.08881 (2023) - [i16]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 abs/2305.16265 (2023) - [i15]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 abs/2305.17337 (2023) - [i14]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 abs/2305.18842 (2023) - [i13]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 abs/2308.05317 (2023) - 2022
- [c9]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: 11312-11320 - [c8]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: 306-312 - [i12]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 abs/2209.14415 (2022) - [i11]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 abs/2210.00063 (2022) - [i10]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 abs/2212.08785 (2022) - 2021
- [c7]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: 13806-13814 - [c6]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: 4078-4088 - [c5]Zhuoyi Wang, Saurabh Gupta, Jie Hao, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo:
Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. EMNLP (1) 2021: 1899-1905 - [c4]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. EMNLP (1) 2021: 5930-5940 - [i9]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 abs/2108.02866 (2021) - [i8]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. CoRR abs/2109.12457 (2021) - 2020
- [c3]Alexander Hanbo Li, Jelena Bradic:
Censored Quantile Regression Forest. AISTATS 2020: 2109-2119 - [c2]Alexander Hanbo Li, Abhinav Sethy:
Semi-Supervised Learning for Text Classification by Layer Partitioning. ICASSP 2020: 6164-6168 - [i7]Alexander Hanbo Li, Jelena Bradic:
Censored Quantile Regression Forest. CoRR abs/2001.03458 (2020) - [i6]Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao:
Decomposed Adversarial Learned Inference. CoRR abs/2004.10267 (2020) - [i5]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 abs/2012.10309 (2020)
2010 – 2019
- 2019
- [i4]Alexander Hanbo Li, Jelena Bradic:
Censored Quantile Regression Forests. CoRR abs/1902.03327 (2019) - [i3]Alexander Hanbo Li, Abhinav Sethy:
Knowledge Enhanced Attention for Robust Natural Language Inference. CoRR abs/1909.00102 (2019) - [i2]Alexander Hanbo Li, Abhinav Sethy:
Semi-Supervised Learning for Text Classification by Layer Partitioning. CoRR abs/1911.11756 (2019) - 2017
- [c1]Alexander Hanbo Li, Andrew Martin:
Forest-type Regression with General Losses and Robust Forest. ICML 2017: 2091-2100 - 2015
- [i1]Alexander Hanbo Li, Jelena Bradic:
Boosting in the presence of outliers: adaptive classification with non-convex loss functions. CoRR abs/1510.01064 (2015)
Coauthor Index
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last updated on 2025-03-18 21:41 CET by the dblp team
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