Dhingra, Bhuwan

PubMedQA: A Dataset for Biomedical Research Question Answering

Jin, Q., Dhingra, B., Liu, Z., Cohen, W., & Lu, X. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 685

Gated-Attention Readers for Text Comprehension

Dhingra, B., Liu, H., Yang, Z., Cohen, W., & Salakhutdinov, R. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 366

ToTTo: A Controlled Table-To-Text Generation Dataset

Parikh, A., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 252

ToTTo: A Controlled Table-To-Text Generation Dataset

Parikh, A. P., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 252

Time-aware language models as temporal knowledge bases

Dhingra, B., Cole, J. R., Eisenschlos, J. M., Gillick, D., Eisenstein, J., & Cohen, W. W. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 212

Learning to Deceive with Attention-Based Explanations

Pruthi, D., Gupta, M., Dhingra, B., Neubig, G., & Lipton, Z. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 203

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Dhingra, B., Faruqui, M., Parikh, A., Chang, M.-W., Das, D., & Cohen, W. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 150

Selectively Answering Ambiguous Questions

Cole, J., Zhang, M., Gillick, D., Eisenschlos, J., Dhingra, B., & Eisenstein, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 19

Selectively Answering Ambiguous Questions

Cole, J. R., Zhang, M. J. Q., Gillick, D., Eisenschlos, J. M., Dhingra, B., & Eisenstein, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

Evaluating Morphological Compositional Generalization in Large Language Models

Ismayilzada, M., Circi, D., Sälevä, J., Sirin, H., Köksal, A., Dhingra, B., Bosselut, A., Ataman, D., & Plas, L. V. D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 18

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

Sun, H., Verga, P., Dhingra, B., Salakhutdinov, R., & Cohen, W. W. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Weakly- and Semi-supervised Evidence Extraction

Pruthi, D., Dhingra, B., Neubig, G., & Lipton, Z. C. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 13

Coding Agents are Effective Long-Context Processors

Cao, W., Yin, X., Dhingra, B., & Zhou, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Over-Searching in Search-Augmented Large Language Models

Xie, R., Gopinath, D., Qiu, D., Lin, D., Sun, H., Potdar, S., & Dhingra, B. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0