Jason Phang
Orcid: 0000-0003-3522-1869
According to our database1,
Jason Phang
authored at least 41 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Trans. Mach. Learn. Res., 2024
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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, 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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Medical Image Anal., 2021
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
J. Digit. Imaging, 2021
CoRR, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
IEEE Trans. Medical Imaging, 2020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability.
CoRR, 2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
CoRR, 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
CoRR, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Improving localization-based approaches for breast cancer screening exam classification.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.
CoRR, 2018
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018