Image de couverture de livre

DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Keerthana, Garapati, Gupta, Manik
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
par: Keerthana, Garapati, et autres
Publié: (2025)

Towards Emotionally Intelligent and Responsible Reinforcement Learning
par: Keerthana, Garapati, et autres
Publié: (2025)

MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning
par: Davis, Joshua, et autres
Publié: (2025)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
par: Srinivas, Sakhinana Sagar, et autres
Publié: (2025)

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
par: Baek, Jinheon, et autres
Publié: (2026)

Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models
par: Li, Zehan, et autres
Publié: (2024)

High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning
par: Arora, Rajat, et autres
Publié: (2026)

CXMArena: Unified Dataset to benchmark performance in realistic CXM Scenarios
par: Garg, Raghav, et autres
Publié: (2025)

SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
par: Jayakody, Dineth, et autres
Publié: (2026)

LORE: A Large Generative Model for Search Relevance
par: Lu, Chenji, et autres
Publié: (2025)

LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources
par: Castillo, Joshua, et autres
Publié: (2026)

GenRec: Generative Sequential Recommendation with Large Language Models
par: Cao, Panfeng, et autres
Publié: (2024)

Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
par: Xu, Yifan, et autres
Publié: (2025)

HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways
par: Cosentino, Cristian, et autres
Publié: (2025)

AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows
par: Babaeipour, Ramtin, et autres
Publié: (2026)

Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej
par: Nigam, Shubham Kumar, et autres
Publié: (2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
par: Xu, Ran, et autres
Publié: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
par: Dong, Guanting, et autres
Publié: (2024)

Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models
par: Edy, Antoine, et autres
Publié: (2026)

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
par: Gupta, Vatsal, et autres
Publié: (2023)

Neurosymbolic Retrievers for Retrieval-augmented Generation
par: Saxena, Yash, et autres
Publié: (2026)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
par: Finardi, Paulo, et autres
Publié: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
par: Muhamed, Aashiq, et autres
Publié: (2025)

General Agentic Memory Via Deep Research
par: Yan, B. Y., et autres
Publié: (2025)

Bottleneck-Minimal Indexing for Generative Document Retrieval
par: Du, Xin, et autres
Publié: (2024)

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
par: Jung, Dongwon, et autres
Publié: (2024)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
par: Li, Yaoyiran, et autres
Publié: (2024)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
par: Shimizu, Ryotaro, et autres
Publié: (2024)

Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
par: Sayana, Krishna, et autres
Publié: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
par: Sharma, Sanat, et autres
Publié: (2024)

Optimization of Retrieval-Augmented Generation Context with Outlier Detection
par: Bulgakov, Vitaly
Publié: (2024)

Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modeling
par: Murugaraj, Keerthana, et autres
Publié: (2025)

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
par: Granata, Francesco, et autres
Publié: (2025)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
par: Zhang, Chenghao, et autres
Publié: (2025)

DeepAgent: A General Reasoning Agent with Scalable Toolsets
par: Li, Xiaoxi, et autres
Publié: (2025)

Generalized knowledge-enhanced framework for biomedical entity and relation extraction
par: Nguyen, Minh, et autres
Publié: (2024)

Reducing hallucination in structured outputs via Retrieval-Augmented Generation
par: Béchard, Patrice, et autres
Publié: (2024)

ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems
par: Yang, Dayu, et autres
Publié: (2025)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
par: Kwon, Daeyong, et autres
Publié: (2025)

The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
par: Zhang, Jiaheng, et autres
Publié: (2025)