RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Moghaddam, Arya Hadizadeh, Ross, Drew, Kerdabadi, Mohsen Nayebi, Wang, Dongjie, Yao, Zijun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2026)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2026)
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)
User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)
ADEPT: A DEbiasing PrompT Framework
by: Yang, Ke, et al.
Published: (2022)
by: Yang, Ke, et al.
Published: (2022)
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
by: Jing, Yi, et al.
Published: (2025)
by: Jing, Yi, et al.
Published: (2025)
Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
Ultra-Low-Dimensional Prompt Tuning via Random Projection
by: Wu, Zijun, et al.
Published: (2025)
by: Wu, Zijun, et al.
Published: (2025)
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
by: Elshabrawy, Ahmed, et al.
Published: (2024)
by: Elshabrawy, Ahmed, et al.
Published: (2024)
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
by: Zhu, Wei, et al.
Published: (2024)
by: Zhu, Wei, et al.
Published: (2024)
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
by: Kwon, Minchan, et al.
Published: (2024)
by: Kwon, Minchan, et al.
Published: (2024)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)
by: Dong, Honghua, et al.
Published: (2024)
Cultural Alignment in Large Language Models Using Soft Prompt Tuning
by: Masoud, Reem I., et al.
Published: (2025)
by: Masoud, Reem I., et al.
Published: (2025)
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
Cross-Prompt Encoder for Low-Performing Languages
by: Mikaberidze, Beso, et al.
Published: (2025)
by: Mikaberidze, Beso, et al.
Published: (2025)
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)
by: Pasewark, Eric, et al.
Published: (2024)
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
by: Verma, Mudit, et al.
Published: (2024)
by: Verma, Mudit, et al.
Published: (2024)
EHR Interaction Between Patients and AI: NoteAid EHR Interaction
by: Zhang, Xiaocheng, et al.
Published: (2023)
by: Zhang, Xiaocheng, et al.
Published: (2023)
UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting
by: Shields-Menard, Sara, et al.
Published: (2025)
by: Shields-Menard, Sara, et al.
Published: (2025)
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data
by: Dhruv, Akash, et al.
Published: (2025)
by: Dhruv, Akash, et al.
Published: (2025)
Tokenization Tradeoffs in Structured EHR Foundation Models
by: Guo, Lin Lawrence, et al.
Published: (2026)
by: Guo, Lin Lawrence, et al.
Published: (2026)
Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
by: Zhang, Biao, et al.
Published: (2025)
by: Zhang, Biao, et al.
Published: (2025)
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models
by: Phan, Thao Minh Nguyen, et al.
Published: (2024)
by: Phan, Thao Minh Nguyen, et al.
Published: (2024)
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
by: Peng, Cheng, et al.
Published: (2023)
by: Peng, Cheng, et al.
Published: (2023)
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
by: Wu, Zijun, et al.
Published: (2023)
by: Wu, Zijun, et al.
Published: (2023)
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
by: Bai, Sikai, et al.
Published: (2024)
by: Bai, Sikai, et al.
Published: (2024)
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
by: Toukmaji, Christopher, et al.
Published: (2025)
by: Toukmaji, Christopher, et al.
Published: (2025)
Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models
by: Maity, Subhankar, et al.
Published: (2025)
by: Maity, Subhankar, et al.
Published: (2025)
Liger: Linearizing Large Language Models to Gated Recurrent Structures
by: Lan, Disen, et al.
Published: (2025)
by: Lan, Disen, et al.
Published: (2025)
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
by: Zou, Jiaru, et al.
Published: (2024)
by: Zou, Jiaru, et al.
Published: (2024)
Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)
by: Cruickshank, Iain J., et al.
Published: (2023)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
TokMem: One-Token Procedural Memory for Large Language Models
by: Wu, Zijun, et al.
Published: (2025)
by: Wu, Zijun, et al.
Published: (2025)
BriLLM: Brain-inspired Large Language Model
by: Zhao, Hai, et al.
Published: (2025)
by: Zhao, Hai, et al.
Published: (2025)
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
by: Wu, Jiaqi, et al.
Published: (2024)
by: Wu, Jiaqi, et al.
Published: (2024)
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
by: Garcia, Gabriel Lino, et al.
Published: (2024)
by: Garcia, Gabriel Lino, et al.
Published: (2024)
GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data
by: Lin, Jiacheng, et al.
Published: (2024)
by: Lin, Jiacheng, et al.
Published: (2024)
Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach
by: Huang, Tianyi, et al.
Published: (2024)
by: Huang, Tianyi, et al.
Published: (2024)
Similar Items
-
Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025) -
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2026) -
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024) -
User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026) -
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2024)