Copertina

Retrieval Augmented Large Language Model System for Comprehensive Drug Contraindications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bang, Byeonghun, Yoon, Jongsuk, Chang, Dong-Jin, Park, Seho, Lee, Yong Oh
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM-Driven Rubric-Based Assessment of Algebraic Competence in Multi-Stage Block Coding Tasks with Design and Field Evaluation
di: Lee, Yong Oh, et al.
Pubblicazione: (2025)

Personalized Auto-Grading and Feedback System for Constructive Geometry Tasks Using Large Language Models on an Online Math Platform
di: Lee, Yong Oh, et al.
Pubblicazione: (2025)

Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
di: Park, Seong-Il, et al.
Pubblicazione: (2024)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
di: An, Bang, et al.
Pubblicazione: (2025)

Language-Agnostic Suicidal Risk Detection Using Large Language Models
di: Kim, June-Woo, et al.
Pubblicazione: (2025)

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
di: Choi, ChangSu, et al.
Pubblicazione: (2024)

REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models
di: Lee, DongGeon, et al.
Pubblicazione: (2025)

Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
di: Kwack, TaeYoon, et al.
Pubblicazione: (2025)

Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
di: Moon, Hyeonseok, et al.
Pubblicazione: (2024)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
di: Li, Mingda, et al.
Pubblicazione: (2024)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
di: Zhang, Qinggang, et al.
Pubblicazione: (2025)

Neuro-RIT: Neuron-Guided Instruction Tuning for Robust Retrieval-Augmented Language Model
di: Kim, Jaemin, et al.
Pubblicazione: (2026)

Learned-Rule-Augmented Large Language Model Evaluators
di: Meng, Jie, et al.
Pubblicazione: (2025)

Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
di: Lee, Juntae, et al.
Pubblicazione: (2025)

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
di: Jeong, Soyeong, et al.
Pubblicazione: (2024)

Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
di: Lee, Seongjun, et al.
Pubblicazione: (2026)

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
di: Chen, Weijie, et al.
Pubblicazione: (2024)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
di: Prahlad, Deeksha, et al.
Pubblicazione: (2025)

SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
di: Kim, Jongsuk, et al.
Pubblicazione: (2025)

Retrieval-Augmented Generation for Large Language Models: A Survey
di: Gao, Yunfan, et al.
Pubblicazione: (2023)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
di: Lin, Jianghao, et al.
Pubblicazione: (2023)

Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
di: Lee, Jaejin, et al.
Pubblicazione: (2024)

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models
di: Lee, Namkyeong, et al.
Pubblicazione: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
di: Wu, Junda, et al.
Pubblicazione: (2024)

LAPIS: Language Model-Augmented Police Investigation System
di: Kim, Heedou, et al.
Pubblicazione: (2024)

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
di: Choi, Eunseong, et al.
Pubblicazione: (2025)

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
di: Qu, Xiaoye, et al.
Pubblicazione: (2024)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
di: Ni, Bo, et al.
Pubblicazione: (2025)

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
di: Kim, Kiseung, et al.
Pubblicazione: (2024)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
di: Chae, Hyunsik, et al.
Pubblicazione: (2025)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
di: Huang, Chengkai, et al.
Pubblicazione: (2024)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
di: Ke, Yu He, et al.
Pubblicazione: (2024)

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
di: Yu, Wenhao, et al.
Pubblicazione: (2023)

Stop-RAG: Value-Based Retrieval Control for Iterative RAG
di: Park, Jaewan, et al.
Pubblicazione: (2025)

Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
di: Lee, Jemin, et al.
Pubblicazione: (2024)

Exploring Diffusion Models for Generative Forecasting of Financial Charts
di: Lee, Taegyeong, et al.
Pubblicazione: (2025)

Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances
di: Chang, Chen-Chi, et al.
Pubblicazione: (2025)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
di: Park, Sungwon, et al.
Pubblicazione: (2024)

Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models
di: Wang, Zhengda, et al.
Pubblicazione: (2025)

Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data
di: Afzal, Anum, et al.
Pubblicazione: (2024)