Copertina

CPLLM: Clinical Prediction with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shoham, Ofir Ben, Rappoport, Nadav
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
di: Perets, Oriel, et al.
Pubblicazione: (2025)

MedConceptsQA: Open Source Medical Concepts QA Benchmark
di: Shoham, Ofir Ben, et al.
Pubblicazione: (2024)

Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
di: Shoham, Ofir Ben
Pubblicazione: (2026)

Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models
di: Leyton-Brown, Kevin, et al.
Pubblicazione: (2024)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
di: Arbel, Iftach, et al.
Pubblicazione: (2024)

Training Large Language Models to Predict Clinical Events
di: Turtel, Benjamin, et al.
Pubblicazione: (2026)

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
di: Ma, Mingyu Derek, et al.
Pubblicazione: (2025)

Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
di: Anschel, Oron, et al.
Pubblicazione: (2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
di: Chen, Feng, et al.
Pubblicazione: (2025)

ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
di: Zhu, Yinghao, et al.
Pubblicazione: (2024)

Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
di: Fauber, Ben
Pubblicazione: (2024)

DSF-GAN: DownStream Feedback Generative Adversarial Network
di: Perets, Oriel, et al.
Pubblicazione: (2024)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
di: Zhu, Yinghao, et al.
Pubblicazione: (2024)

Large Language Models for Travel Behavior Prediction
di: Mo, Baichuan, et al.
Pubblicazione: (2023)

Collaborative Performance Prediction for Large Language Models
di: Zhang, Qiyuan, et al.
Pubblicazione: (2024)

Episodic Memories Generation and Evaluation Benchmark for Large Language Models
di: Huet, Alexis, et al.
Pubblicazione: (2025)

Large Language Models Streamline Automated Machine Learning for Clinical Studies
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2023)

Extracting Patient History from Clinical Text: A Comparative Study of Clinical Large Language Models
di: Nghiem, Hieu, et al.
Pubblicazione: (2025)

Explingo: Explaining AI Predictions using Large Language Models
di: Zytek, Alexandra, et al.
Pubblicazione: (2024)

A Law of Next-Token Prediction in Large Language Models
di: He, Hangfeng, et al.
Pubblicazione: (2024)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
di: Lu, Qiuhao, et al.
Pubblicazione: (2024)

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
di: Tsymbalov, Aleksandr, et al.
Pubblicazione: (2025)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
di: Rubashevskii, Aleksandr, et al.
Pubblicazione: (2026)

MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications
di: He, Qing, et al.
Pubblicazione: (2026)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
di: Liu, Ben, et al.
Pubblicazione: (2024)

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
di: Ye, Yuanchang, et al.
Pubblicazione: (2025)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
di: Kim, Junsol, et al.
Pubblicazione: (2023)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
di: Su, Jiayuan, et al.
Pubblicazione: (2024)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
di: Shao, Chenze, et al.
Pubblicazione: (2024)

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
di: Zhang, Yanlin, et al.
Pubblicazione: (2024)

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
di: Zhang, Hao, et al.
Pubblicazione: (2025)

Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation
di: Wang, Hanyin, et al.
Pubblicazione: (2024)

Large Language Models for Automating Clinical Data Standardization: HL7 FHIR Use Case
di: Riquelme, Alvaro, et al.
Pubblicazione: (2025)

CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
di: Ma, Mingyu Derek, et al.
Pubblicazione: (2024)

Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
di: Fauber, Ben
Pubblicazione: (2024)

Differential Mamba
di: Schneider, Nadav, et al.
Pubblicazione: (2025)

FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
di: Viswanath, Hrishikesh, et al.
Pubblicazione: (2023)

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
di: Kim, Yubin, et al.
Pubblicazione: (2024)

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
di: Lin, Xuan, et al.
Pubblicazione: (2025)

CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients
di: Zhu, Shengjun, et al.
Pubblicazione: (2024)