Guangzhi Xiong

CoRR, 2024

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.

[BibT_eX]

[DOI]

CoRR, 2024

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations.

[BibT_eX]

[DOI]

CoRR, 2024

DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

[BibT_eX]

[DOI]

Bioinform., 2024

CoLiDR: Concept Learning using Aggregated Disentangled Representations.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-explaining Neural Architecture for Generalizable Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Benchmarking Retrieval-Augmented Generation for Medicine.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.

[BibT_eX]

[DOI]

Stefan Bekiranov