Alexander Hanbo Li

According to our database1, Alexander Hanbo Li authored at least 22 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Benchmarking Diverse-Modal Entity Linking with Generative Models.
CoRR, 2023

UNITE: A Unified Benchmark for Text-to-SQL Evaluation.
CoRR, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
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.
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.
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.
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.
CoRR, 2022

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contextual Rephrase Detection for Reducing Friction in Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation.
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.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Decomposed Adversarial Learned Inference.
CoRR, 2020

Semi-Supervised Learning for Text Classification by Layer Partitioning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Censored Quantile Regression Forest.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Knowledge Enhanced Attention for Robust Natural Language Inference.
CoRR, 2019

Censored Quantile Regression Forests.
CoRR, 2019

2017
Forest-type Regression with General Losses and Robust Forest.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Boosting in the presence of outliers: adaptive classification with non-convex loss functions.
CoRR, 2015


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