Wenhao Yu
Orcid: 0000-0002-4075-5980Affiliations:
- University of Notre Dame, Department of Computer Science and Engineering, IN, USA
According to our database1,
Wenhao Yu
authored at least 50 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System.
Proceedings of the World Wide Web Conference, 2019
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019