Buchumschlag

Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Alzaid, Ethar, Pergola, Gabriele, Evans, Harriet, Snead, David, Minhas, Fayyaz
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Large multimodal model‐based standardisation of pathology reports with confidence and its prognostic significance
von: Ethar Alzaid, et al.
Veröffentlicht: (2024)

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models
von: Eastwood, Mark, et al.
Veröffentlicht: (2024)

When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
von: Alajmi, Anwar, et al.
Veröffentlicht: (2025)

ModalSurv: Investigating opportunities and limitations of multimodal deep survival learning in prostate and bladder cancer
von: Wahab, Noorul, et al.
Veröffentlicht: (2025)

Society of Medical Simplifiers
von: Lyu, Chen, et al.
Veröffentlicht: (2024)

SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score
von: Lyu, Chen, et al.
Veröffentlicht: (2024)

Cascading Large Language Models for Salient Event Graph Generation
von: Tan, Xingwei, et al.
Veröffentlicht: (2024)

Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
von: Khan, Sahrish, et al.
Veröffentlicht: (2025)

Extracting Event Temporal Relations via Hyperbolic Geometry
von: Tan, Xingwei, et al.
Veröffentlicht: (2021)

IntrEx: A Dataset for Modeling Engagement in Educational Conversations
von: Tan, Xingwei, et al.
Veröffentlicht: (2025)

PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
von: Zhang, Huixuan, et al.
Veröffentlicht: (2024)

RET-LLM: Towards a General Read-Write Memory for Large Language Models
von: Modarressi, Ali, et al.
Veröffentlicht: (2023)

Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models
von: Zhang, Glenn, et al.
Veröffentlicht: (2025)

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
von: Sun, Zhaoyue, et al.
Veröffentlicht: (2024)

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
von: Yan, Yibo, et al.
Veröffentlicht: (2025)

Synergy vs. Noise: Performance-Guided Multimodal Fusion For Biochemical Recurrence-Free Survival in Prostate Cancer
von: Chang, Seth Alain, et al.
Veröffentlicht: (2025)

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
von: Sun, Zhaoyue, et al.
Veröffentlicht: (2024)

Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
von: Tan, Xingwei, et al.
Veröffentlicht: (2024)

Calibrated Confidence Expression for Radiology Report Generation
von: Bani-Harouni, David, et al.
Veröffentlicht: (2026)

Calibrating the Confidence of Large Language Models by Eliciting Fidelity
von: Zhang, Mozhi, et al.
Veröffentlicht: (2024)

Confidence in the Reasoning of Large Language Models
von: Pawitan, Yudi, et al.
Veröffentlicht: (2024)

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence
von: Wu, Sean, et al.
Veröffentlicht: (2026)

Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
von: Deshpande, Srijay, et al.
Veröffentlicht: (2023)

Standardising the NLP Workflow: A Framework for Reproducible Linguistic Analysis
von: Pauli, Yves, et al.
Veröffentlicht: (2025)

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
von: Ni, Shiyu, et al.
Veröffentlicht: (2024)

Performance Evaluation of Open-Source Large Language Models for Assisting Pathology Report Writing in Japanese
von: Kawai, Masataka, et al.
Veröffentlicht: (2026)

Confidence Estimation for Text-to-SQL in Large Language Models
von: Maleki, Sepideh Entezari, et al.
Veröffentlicht: (2025)

Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
von: Mao, Zhenjiang, et al.
Veröffentlicht: (2026)

Graph-based Confidence Calibration for Large Language Models
von: Li, Yukun, et al.
Veröffentlicht: (2024)

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
von: Jaumann, Christian, et al.
Veröffentlicht: (2025)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
von: Mattioli, Gabriele, et al.
Veröffentlicht: (2026)

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
von: Liu, Xiaoou, et al.
Veröffentlicht: (2025)

Structural Reformation of Large Language Model Neuron Encapsulation for Divergent Information Aggregation
von: Bakushev, Denis, et al.
Veröffentlicht: (2025)

When Quantization Affects Confidence of Large Language Models?
von: Proskurina, Irina, et al.
Veröffentlicht: (2024)

Self-Training Large Language Models with Confident Reasoning
von: Jang, Hyosoon, et al.
Veröffentlicht: (2025)

Closing the Confidence-Faithfulness Gap in Large Language Models
von: Miao, Miranda Muqing, et al.
Veröffentlicht: (2026)

Structured Convergence in Large Language Model Representations via Hierarchical Latent Space Folding
von: Harcourt, Fenella, et al.
Veröffentlicht: (2025)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
von: Kumar, Abhishek, et al.
Veröffentlicht: (2024)

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
von: Naderi, Nariman, et al.
Veröffentlicht: (2025)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale
von: Fayyaz, Mohsen, et al.
Veröffentlicht: (2024)