Image de couverture de livre

Count-Based Approaches Remain Strong: A Benchmark Against Transformer and LLM Pipelines on Structured EHR

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gao, Jifan, Rosenthal, Michael, Wolpin, Brian, Cristea, Simona
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 Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support
par: Ran, Wu Hao, et autres
Publié: (2025)

FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering
par: Lee, Gyubok, et autres
Publié: (2025)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
par: Jiang, Yixing, et autres
Publié: (2025)

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data
par: Yao, Zonghai, et autres
Publié: (2025)

SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents
par: Zhou, Yifan, et autres
Publié: (2026)

PIPE-RDF: An LLM-Assisted Pipeline for Enterprise RDF Benchmarking
par: Ranganath, Suraj
Publié: (2026)

PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
par: Liu, Ruoqi, et autres
Publié: (2026)

[Re] Benchmarking LLM Capabilities in Negotiation through Scoreable Games
par: Pollo, Jorge Carrasco, et autres
Publié: (2026)

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
par: Cui, Hejie, et autres
Publié: (2024)

From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents
par: Lee, Gyubok, et autres
Publié: (2025)

Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
par: Zhang, Xuan, et autres
Publié: (2025)

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
par: Cai, Zi, et autres
Publié: (2025)

EHR Interaction Between Patients and AI: NoteAid EHR Interaction
par: Zhang, Xiaocheng, et autres
Publié: (2023)

A Parallel Approach to Counting Exact Covers Based on Decomposability Property
par: Fang, Liangda, et autres
Publié: (2026)

PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
par: Zhao, Yuxuan, et autres
Publié: (2026)

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion
par: Yin, Kejing, et autres
Publié: (2026)

Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
par: Zhou, Guanglin, et autres
Publié: (2025)

CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
par: Hossain, Md Tanvir, et autres
Publié: (2025)

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
par: Gao, Jin, et autres
Publié: (2024)

Pipeline for Verifying LLM-Generated Mathematical Solutions
par: Sazonova, Varvara, et autres
Publié: (2026)

Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)
par: Penther, Erik, et autres
Publié: (2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
par: Fang, Yue, et autres
Publié: (2025)

Beyond the Org Chart: AI and the Transformation of Invisible Work
par: Rosenthal, Stephanie, et autres
Publié: (2026)

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
par: Xu, Ran, et autres
Publié: (2024)

FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records
par: Karami, Hojjat, et autres
Publié: (2026)

A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models
par: Frizzo, Davide, et autres
Publié: (2025)

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
par: Elyasi, Keyvan Amiri, et autres
Publié: (2024)

RCCFormer: A Robust Crowd Counting Network Based on Transformer
par: Liu, Peng, et autres
Publié: (2025)

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
par: Ma, Ziyang, et autres
Publié: (2024)

A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
par: Xu, Jingjing, et autres
Publié: (2025)

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
par: Huang, Zhehao, et autres
Publié: (2024)

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
par: Han, Shanshan, et autres
Publié: (2025)

LLM-Generated Negative News Headlines Dataset: Creation and Benchmarking Against Real Journalism
par: Babalola, Olusola, et autres
Publié: (2025)

Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
par: Tong, Ran, et autres
Publié: (2025)

AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
par: Wu, Yixin, et autres
Publié: (2025)

CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
par: Dobrita, Gabriela, et autres
Publié: (2026)

$β$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation
par: Aslan, Haci Ismail, et autres
Publié: (2025)

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
par: Moghaddam, Arya Hadizadeh, et autres
Publié: (2026)

Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task
par: Golkar, Siavash, et autres
Publié: (2024)

BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations
par: Piao, Xihao, et autres
Publié: (2024)