Cover Image

Leveraging Language Models and RAG for Efficient Knowledge Discovery in Clinical Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ko, Seokhwan, Lee, Donghyeon, Chun, Jaewoo, Han, Hyungsoo, Cho, Junghwan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
by: Park, Yein, et al.
Published: (2024)

Development of an Agentic AI Model for NGS Downstream Analysis Targeting Researchers with Limited Biological Background
by: Lee, Donghyeon, et al.
Published: (2025)

ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
by: Lee, Taewhoo, et al.
Published: (2024)

Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
by: Kim, Junghwan, et al.
Published: (2025)

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
by: Lee, Joosung, et al.
Published: (2026)

Teaching Language Models to Think in Code
by: Hwang, Hyeon, et al.
Published: (2026)

Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task
by: Lee, Hoonick, et al.
Published: (2024)

ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models
by: Yoon, Junho, et al.
Published: (2025)

Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices
by: Kim, Gwantae, et al.
Published: (2024)

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models
by: Wu, Keshu, et al.
Published: (2026)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024)

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
by: Lee, Jiyoung, et al.
Published: (2024)

From Tokens to Materials: Leveraging Language Models for Scientific Discovery
by: Wan, Yuwei, et al.
Published: (2024)

The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models
by: Lee, Taewhoo, et al.
Published: (2025)

Leveraging Large Language Models for Identifying Knowledge Components
by: Wang, Canwen, et al.
Published: (2025)

Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs
by: Delmas, Maxime, et al.
Published: (2025)

SLM as Guardian: Pioneering AI Safety with Small Language Models
by: Kwon, Ohjoon, et al.
Published: (2024)

ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
by: Yao, Ruobing, et al.
Published: (2025)

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
by: Guo, Tiezheng, et al.
Published: (2023)

Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery
by: Aryal, Shiva, et al.
Published: (2024)

DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models
by: Cho, Sangyeon, et al.
Published: (2024)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
by: Li, Yongjian, et al.
Published: (2025)

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning
by: Wang, Qing, et al.
Published: (2026)

Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
by: Baek, Ingeol, et al.
Published: (2024)

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)

UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge
by: Kim, Youna, et al.
Published: (2025)

Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
by: Kang, Minki, et al.
Published: (2024)

KohakuRAG: A simple RAG framework with hierarchical document indexing
by: Yeh, Shih-Ying, et al.
Published: (2026)

Investigating Language Preference of Multilingual RAG Systems
by: Park, Jeonghyun, et al.
Published: (2025)

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions
by: Choi, Donghee, et al.
Published: (2024)

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking
by: Chang, Rong-Ching, et al.
Published: (2024)

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG
by: Bhushan, Kushagra, et al.
Published: (2025)

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
by: Cha, Sungmin, et al.
Published: (2024)

KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs
by: Ko, Donghyeon, et al.
Published: (2025)

Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
by: Kim, Jiyeon, et al.
Published: (2024)

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
by: Liu, Langming, et al.
Published: (2025)

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
by: Ahn, Jaewoo, et al.
Published: (2024)

Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
by: Cho, Seungho, et al.
Published: (2025)