Imagen de Portada

Searching for Best Practices in Medical Transcription with Large Language Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Jiafeng, Mu, Yanda
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
por: Ye, Dezhi, et al.
Publicado: (2024)

Best Practices for Text Annotation with Large Language Models
por: Törnberg, Petter
Publicado: (2024)

Searching for Best Practices in Retrieval-Augmented Generation
por: Wang, Xiaohua, et al.
Publicado: (2024)

Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
por: Li, Liz, et al.
Publicado: (2026)

Large Language Models for Medical OSCE Assessment: A Novel Approach to Transcript Analysis
por: Shakur, Ameer Hamza, et al.
Publicado: (2024)

SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models
por: Yang, Wanqi, et al.
Publicado: (2025)

The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models
por: Adedeji, Ayo, et al.
Publicado: (2024)

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

BFS-PO: Best-First Search for Large Reasoning Models
por: Parascandolo, Fiorenzo, et al.
Publicado: (2026)

An Application of Large Language Models to Coding Negotiation Transcripts
por: Friedman, Ray, et al.
Publicado: (2024)

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration
por: Wu, Guangxin, et al.
Publicado: (2026)

Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models
por: Yi, Seungjun, et al.
Publicado: (2025)

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
por: Ding, Zepeng, et al.
Publicado: (2024)

Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection
por: Chen, Chin-Po, et al.
Publicado: (2024)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
por: Wang, Dixuan, et al.
Publicado: (2024)

On the Capacity of Citation Generation by Large Language Models
por: Qian, Haosheng, et al.
Publicado: (2024)

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
por: Huang, Zhongzhen, et al.
Publicado: (2024)

The Impact of Reasoning Step Length on Large Language Models
por: Jin, Mingyu, et al.
Publicado: (2024)

An Active Inference Strategy for Prompting Reliable Responses from Large Language Models in Medical Practice
por: Shusterman, Roma, et al.
Publicado: (2024)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
por: Li, Yanda, et al.
Publicado: (2024)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
por: Niu, Qian, et al.
Publicado: (2024)

MI-PRUN: Optimize Large Language Model Pruning via Mutual Information
por: Zhang, Hao, et al.
Publicado: (2026)

G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
por: Bai, Long, et al.
Publicado: (2025)

SLAM-LLM: A Modular, Open-Source Multimodal Large Language Model Framework and Best Practice for Speech, Language, Audio and Music Processing
por: Ma, Ziyang, et al.
Publicado: (2026)

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization
por: Hosseinbeigi, Sara Bourbour, et al.
Publicado: (2025)

Eir: Thai Medical Large Language Models
por: Thiprak, Yutthakorn, et al.
Publicado: (2024)

Inference to the Best Explanation in Large Language Models
por: Dalal, Dhairya, et al.
Publicado: (2024)

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
por: Zhang, Fred, et al.
Publicado: (2023)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
por: Wen, Yuchen, et al.
Publicado: (2024)

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
por: Brissard, Alexis, et al.
Publicado: (2025)

Can Large Language Models abstract Medical Coded Language?
por: Lee, Simon A., et al.
Publicado: (2024)

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
por: Ling, Guoming, et al.
Publicado: (2026)

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
por: Lin, Tzu-Han, et al.
Publicado: (2025)

Best Practices and Lessons Learned on Synthetic Data
por: Liu, Ruibo, et al.
Publicado: (2024)

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
por: Zeng, Qingcheng, et al.
Publicado: (2024)

Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
por: Mu, Yida, et al.
Publicado: (2024)

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
por: Mu, Yida, et al.
Publicado: (2024)

Arabic Large Language Models for Medical Text Generation
por: Allam, Abdulrahman, et al.
Publicado: (2025)

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
por: Liu, Runxuan, et al.
Publicado: (2026)

Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
por: Wu, Weiyi, et al.
Publicado: (2025)