Zhiguo Wang

Orcid: 0000-0002-2412-6172

Affiliations:
  • Amazon Web Services (AWS), AI Labs, USA


According to our database1, Zhiguo Wang authored at least 56 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CiteEval: Principle-Driven Citation Evaluation for Source Attribution.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall.
CoRR, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
CoRR, 2022

REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction.
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
End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task.
CoRR, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Improving Factual Consistency of Abstractive Summarization via 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

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

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
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
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
CoRR, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semantic Neural Machine Translation using AMR.
Trans. Assoc. Comput. Linguistics, 2019

Universal Text Representation from BERT: An Empirical Study.
CoRR, 2019

Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Leveraging Dependency Forest for Neural Medical Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Granular Text Encoding for Self-Explaining Categorization.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Domain Adaptation with BERT-based Domain Classification and Data Selection.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
SQL-to-Text Generation with Graph-to-Sequence Model.
CoRR, 2018

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks.
CoRR, 2018

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks.
CoRR, 2018

Leveraging Context Information for Natural Question Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SQL-to-Text Generation with Graph-to-Sequence Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

N-ary Relation Extraction using Graph-State LSTM.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Graph-to-Sequence Model for AMR-to-Text Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Unified Query-based Generative Model for Question Generation and Question Answering.
CoRR, 2017

k-Nearest Neighbor Augmented Neural Networks for Text Classification.
CoRR, 2017

Bilateral Multi-Perspective Matching for Natural Language Sentences.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

AMR-to-text Generation with Synchronous Node Replacement Grammar.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Multi-Perspective Context Matching for Machine Comprehension.
CoRR, 2016

AMR-to-text generation as a Traveling Salesman Problem.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


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