Parminder Bhatia
Orcid: 0000-0002-0038-5081
According to our database1,
Parminder Bhatia
authored at least 50 papers
between 2015 and 2024.
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Bibliography
2024
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
CoRR, 2024
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
CoRR, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
CoRR, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking.
CoRR, 2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes.
CoRR, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020
CoRR, 2020
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature.
CoRR, 2020
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.
CoRR, 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
CoRR, 2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning.
CoRR, 2018
2017
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015