Jia, Robin

Know What You Don't Know: Unanswerable Questions for SQuAD

Rajpurkar, P., Jia, R., & Liang, P. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,242

Know What You Don’t Know: Unanswerable Questions for SQuAD

Rajpurkar, P., Jia, R., & Liang, P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 2,240

Adversarial Examples for Evaluating Reading Comprehension Systems

Jia, R., & Liang, P. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 1,410

Data Recombination for Neural Semantic Parsing

Jia, R., & Liang, P. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 441

Dynabench: Rethinking Benchmarking in NLP

Kiela, D., Bartolo, M., Nie, Y., Kaushik, D., Geiger, A., Wu, Z., Vidgen, B., Prasad, G., Singh, A., Ringshia, P., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 254

With Little Power Comes Great Responsibility

Card, D., Henderson, P., Khandelwal, U., Jia, R., Mahowald, K., & Jurafsky, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 84

“Reverse genomics” predicts function of human conserved noncoding elements

Marcovitz, A., Jia, R., & Bejerano, G. (2016) · Molecular Biology and Evolution

Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies

Cited by 53

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Rodriguez, P., Barrow, J., Hoyle, A. M., Lalor, J. P., Jia, R., & Boyd-Graber, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 47

The statistical advantage of automatic NLG metrics at the system level

Wei, J., & Jia, R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 16

Mechanistic Interpretability of Emotion Inference in Large Language Models

Tak, A. N., Banayeeanzade, A., Bolourani, A., Kian, M., Jia, R., & Gratch, J. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Emotion and Mood RecognitionExplainable Artificial Intelligence (XAI)

Cited by 12

Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA

Gonzalez, A. V., Bansal, G., Fan, A., Jia, R., Mehdad, Y., & Iyer, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Information Retrieval and Search Behavior

Cited by 7

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics

Godbole, A., & Jia, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0