Cover Image

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sushil, Madhumita, Zack, Travis, Mandair, Divneet, Zheng, Zhiwei, Wali, Ahmed, Yu, Yan-Ning, Quan, Yuwei, Butte, Atul J.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
by: Sushil, Madhumita, et al.
Published: (2023)

A systematic review of trial-matching pipelines using large language models
by: Morrison, Braxton A., et al.
Published: (2025)

Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
by: Ranario, Earl, et al.
Published: (2025)

Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes
by: Anu Patel, et al.
Published: (2024)

Expertise Is What We Want
by: Ashworth, Alan, et al.
Published: (2025)

In-context learning enables multimodal large language models to classify cancer pathology images
by: Ferber, Dyke, et al.
Published: (2024)

Amortizing intractable inference in large language models
by: Hu, Edward J., et al.
Published: (2023)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
by: Miao, Brenda Y., et al.
Published: (2024)

Zero‐shot animal behaviour classification with vision‐language foundation models
by: Gaspard Dussert, et al.
Published: (2025)

Large language models can be zero-shot anomaly detectors for time series?
by: Alnegheimish, Sarah, et al.
Published: (2024)

Robust image classification with multi-modal large language models
by: Villani, Francesco, et al.
Published: (2024)

Zero-shot generation of synthetic neurosurgical data with large language models
by: Barr, Austin A., et al.
Published: (2025)

Leveraging large language models for structured information extraction from pathology reports
by: Balasubramanian, Jeya Balaji, et al.
Published: (2025)

Comparing large language models for supervised analysis of students' lab notes
by: Fussell, Rebeckah K., et al.
Published: (2024)

Reasoning emerges from constrained inference manifolds in large language models
by: Ma, Yanbiao, et al.
Published: (2026)

Exploring the limits of strong membership inference attacks on large language models
by: Hayes, Jamie, et al.
Published: (2025)

Benchmarking graph construction by large language models for coherence-driven inference
by: Huntsman, Steve, et al.
Published: (2025)

Enhancing reasoning accuracy in large language models during inference time
by: Sharma, Vinay, et al.
Published: (2026)

Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation models
by: Kaczmarzyk, Jakub R., et al.
Published: (2025)

Initialization matters in few-shot adaptation of vision-language models for histopathological image classification
by: Meseguer, Pablo, et al.
Published: (2026)

Textual interpretation of transient image classifications from large language models
by: Stoppa, Fiorenzo, et al.
Published: (2025)

The representation landscape of few-shot learning and fine-tuning in large language models
by: Doimo, Diego, et al.
Published: (2024)

Zero-shot cross-lingual transfer in instruction tuning of large language models
by: Chirkova, Nadezhda, et al.
Published: (2024)

Split-and-Denoise: Protect large language model inference with local differential privacy
by: Mai, Peihua, et al.
Published: (2023)

Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification
by: Okimoto, Leandro Y. S., et al.
Published: (2024)

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
by: Jang, Jongseong, et al.
Published: (2022)

Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation
by: Silva, Bernardo, et al.
Published: (2024)

Retrieval-augmented in-context learning for multimodal large language models in disease classification
by: Zhan, Zaifu, et al.
Published: (2025)

Explanation sensitivity to the randomness of large language models: the case of journalistic text classification
by: Bogaert, Jeremie, et al.
Published: (2024)

Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters
by: Fujita, Kenichi, et al.
Published: (2024)

Video models are zero-shot learners and reasoners
by: Wiedemer, Thaddäus, et al.
Published: (2025)

Tissue Concepts: supervised foundation models in computational pathology
by: Nicke, Till, et al.
Published: (2024)

An End to End Edge to Cloud Data and Analytics Strategy
by: Butte, Vijay Kumar, et al.
Published: (2025)

Secure, Scalable and Privacy Aware Data Strategy in Cloud
by: Butte, Vijay Kumar, et al.
Published: (2025)

Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation
by: Chirkova, Nadezhda, et al.
Published: (2023)

Integrating large language models and active inference to understand eye movements in reading and dyslexia
by: Donnarumma, Francesco, et al.
Published: (2023)

The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
by: Miao, Brenda Y., et al.
Published: (2024)

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection
by: Yang, Yuguang, et al.
Published: (2025)