Image de couverture de livre

Evaluation and LLM-Guided Learning of ICD Coding Rationales

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Mingyang, Schlegel, Viktor, Mu, Tingting, Oyewusi, Wuraola, Kang, Kai, Nenadic, Goran
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs
par: Li, Mingyang, et autres
Publié: (2025)

AI Literacy in Low-Resource Languages:Insights from creating AI in Yoruba videos
par: Oyewusi, Wuraola
Publié: (2024)

A Comparative Study on Automatic Coding of Medical Letters with Explainability
par: Glen, Jamie, et autres
Publié: (2024)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
par: Romero, Pablo, et autres
Publié: (2024)

Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension
par: Schlegel, Viktor, et autres
Publié: (2024)

Evaluating Differentially Private Generation of Domain-Specific Text
par: Sun, Yidan, et autres
Publié: (2025)

Rethinking Human Preference Evaluation of LLM Rationales
par: Li, Ziang, et autres
Publié: (2025)

Exploration of Masked and Causal Language Modelling for Text Generation
par: Micheletti, Nicolo, et autres
Publié: (2024)

Graph Inference Towards ICD Coding
par: Deng, Xiaoxiao
Publié: (2026)

SynBench: A Benchmark for Differentially Private Text Generation
par: Sun, Yidan, et autres
Publié: (2025)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale
par: Fayyaz, Mohsen, et autres
Publié: (2024)

Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
par: Han, Lifeng, et autres
Publié: (2023)

A General Knowledge Injection Framework for ICD Coding
par: Zhang, Xu, et autres
Publié: (2025)

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
par: Gladkoff, Serge, et autres
Publié: (2023)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
par: Hong, Kung Yin, et autres
Publié: (2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data
par: Hong, Kung Yin, et autres
Publié: (2024)

Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning
par: Mu, Enhong, et autres
Publié: (2025)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
par: Wu, Yulong, et autres
Publié: (2025)

Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
par: Li, Zihao, et autres
Publié: (2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
par: Li, Zihao, et autres
Publié: (2023)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters
par: Ren, Libo, et autres
Publié: (2024)

Explainable Iterative Data Visualisation Refinement via an LLM Agent
par: Susam, Burak, et autres
Publié: (2026)

CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
par: Luo, Junyu, et autres
Publié: (2024)

De-identification of clinical free text using natural language processing: A systematic review of current approaches
par: Kovačević, Aleksandar, et autres
Publié: (2023)

Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
par: Yan, Jianzhi, et autres
Publié: (2025)

Learning to Generate and Evaluate Fact-checking Explanations with Transformers
par: Feher, Darius, et autres
Publié: (2024)

RuCCoD: Towards Automated ICD Coding in Russian
par: Nesterov, Aleksandr, et autres
Publié: (2025)

CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
par: Li, Zhenyu, et autres
Publié: (2026)

Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
par: Han, Lifeng, et autres
Publié: (2020)

Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs
par: Chu, SeongYeub, et autres
Publié: (2024)

Memorize or Generalize? Evaluating LLM Code Generation with Code Rewriting
par: Zhang, Lizhe, et autres
Publié: (2025)

Enhancing Rare Codes via Probability-Biased Directed Graph Attention for Long-Tail ICD Coding
par: Chen, Tianlei, et autres
Publié: (2025)

LocAgent: Graph-Guided LLM Agents for Code Localization
par: Chen, Zhaoling, et autres
Publié: (2025)

Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
par: Cao, Jun, et autres
Publié: (2025)

From Documents to Spans: Scalable Supervision for Evidence-Based ICD Coding with LLMs
par: Zhang, Xu, et autres
Publié: (2026)

Bridging the Version Gap: Multi-version Training Improves ICD Code Prediction, Especially for Rare Codes
par: Liu, Jinghui, et autres
Publié: (2026)

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
par: Wu, Yulong, et autres
Publié: (2025)

Synthetic Clinical Notes for Rare ICD Codes: A Data-Centric Framework for Long-Tail Medical Coding
par: Vo, Truong, et autres
Publié: (2025)

TraceCoder: Towards Traceable ICD Coding via Multi-Source Knowledge Integration
par: Ren, Mucheng, et autres
Publié: (2025)

MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
par: You, Xinxin, et autres
Publié: (2025)