Copertina

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Zhihao, Jin, Yujie, Xu, Yongxin, Chu, Xu, Wang, Yasha, Zhao, Junfeng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
di: Yu, Zhihao, et al.
Pubblicazione: (2024)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
di: Feng, Yujie, et al.
Pubblicazione: (2025)

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
di: Zhang, Ruizhe, et al.
Pubblicazione: (2024)

GeoEdit: Geometric Knowledge Editing for Large Language Models
di: Feng, Yujie, et al.
Pubblicazione: (2025)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
di: Xu, Yongxin, et al.
Pubblicazione: (2024)

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
di: Yu, Zhihao, et al.
Pubblicazione: (2024)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
di: Zhang, Ruizhe, et al.
Pubblicazione: (2024)

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
di: Ding, Hongxin, et al.
Pubblicazione: (2024)

LoRA Dropout as a Sparsity Regularizer for Overfitting Control
di: Lin, Yang, et al.
Pubblicazione: (2024)

RAGraph: A General Retrieval-Augmented Graph Learning Framework
di: Jiang, Xinke, et al.
Pubblicazione: (2024)

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
di: Yang, Zhibang, et al.
Pubblicazione: (2025)

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
di: Feng, Yujie, et al.
Pubblicazione: (2026)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
di: Liao, Weibin, et al.
Pubblicazione: (2024)

DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
di: Ma, Xinyu, et al.
Pubblicazione: (2025)

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
di: Zhang, Jinyang, et al.
Pubblicazione: (2025)

Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
di: Qiu, Rihong, et al.
Pubblicazione: (2025)

KIF: Knowledge Identification and Fusion for Language Model Continual Learning
di: Feng, Yujie, et al.
Pubblicazione: (2024)

Neuron-Level Knowledge Attribution in Large Language Models
di: Yu, Zeping, et al.
Pubblicazione: (2023)

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
di: Xu, Yiming, et al.
Pubblicazione: (2025)

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
di: Jin, Haoran, et al.
Pubblicazione: (2025)

SafeNeuron: Neuron-Level Safety Alignment for Large Language Models
di: Wang, Zhaoxin, et al.
Pubblicazione: (2026)

HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
di: Jiang, Xinke, et al.
Pubblicazione: (2023)

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment
di: Chu, Xu, et al.
Pubblicazione: (2025)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
di: Wang, Zixiang, et al.
Pubblicazione: (2024)

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models
di: Liao, Weibin, et al.
Pubblicazione: (2025)

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
di: Xu, Yukai, et al.
Pubblicazione: (2024)

Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
di: Chen, Jing, et al.
Pubblicazione: (2026)

Knowledge Editing on Black-box Large Language Models
di: Song, Xiaoshuai, et al.
Pubblicazione: (2024)

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
di: Zong, Yongshuo, et al.
Pubblicazione: (2024)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
di: Lin, Yujie, et al.
Pubblicazione: (2026)

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
di: Yuan, Hongbang, et al.
Pubblicazione: (2024)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
di: Xu, Muhao, et al.
Pubblicazione: (2024)

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
di: Jiang, Pengcheng, et al.
Pubblicazione: (2023)

Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
di: Xu, HuangChao, et al.
Pubblicazione: (2024)

Systematic Outliers in Large Language Models
di: An, Yongqi, et al.
Pubblicazione: (2025)

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
di: Zhang, Fuxiang, et al.
Pubblicazione: (2024)

Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
di: Han, Yankun
Pubblicazione: (2025)

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
di: Jiang, Guochao, et al.
Pubblicazione: (2025)

Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
di: Leng, Xinyi, et al.
Pubblicazione: (2024)

Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review
di: Shi, Tongyue, et al.
Pubblicazione: (2024)