Maya Varma
Orcid: 0000-0003-0693-7753
According to our database1,
Maya Varma
authored at least 30 papers
between 2018 and 2024.
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Bibliography
2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models.
CoRR, 2024
Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback.
CoRR, 2024
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!".
CoRR, 2024
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!".
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers.
BMC Bioinform., 2021
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.
BioData Min., 2021
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
CoRR, 2020
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.
BMC Bioinform., 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020
2019
Nat. Mach. Intell., 2019
Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
2018
Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018