Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
Fuente:
arXiv
Saved in:
| Main Authors: | Prahlad, Deeksha, Lee, Chanhee, Kim, Dongha, Kim, Hokeun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems
by: Prahlad, Deeksha, et al.
Published: (2026)
by: Prahlad, Deeksha, et al.
Published: (2026)
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)
by: Lee, Myeonghwa, et al.
Published: (2024)
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
by: Kim, Junsol, et al.
Published: (2023)
by: Kim, Junsol, et al.
Published: (2023)
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)
by: Zheng, Yilun, et al.
Published: (2025)
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
by: Ko, Sungho, et al.
Published: (2024)
by: Ko, Sungho, et al.
Published: (2024)
Value Augmented Sampling for Language Model Alignment and Personalization
by: Han, Seungwook, et al.
Published: (2024)
by: Han, Seungwook, et al.
Published: (2024)
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)
by: Xu, Austin, et al.
Published: (2024)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Learning Retrieval Augmentation for Personalized Dialogue Generation
by: Huang, Qiushi, et al.
Published: (2024)
by: Huang, Qiushi, et al.
Published: (2024)
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
by: Lee, Gihun, et al.
Published: (2024)
by: Lee, Gihun, et al.
Published: (2024)
Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching
by: Li, Xiaodi, et al.
Published: (2026)
by: Li, Xiaodi, et al.
Published: (2026)
Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
by: Kim, Jaemin, et al.
Published: (2026)
by: Kim, Jaemin, et al.
Published: (2026)
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023)
by: Baek, Jinheon, et al.
Published: (2023)
Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)
by: Liu, Xiaoze, et al.
Published: (2024)
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)
by: Hao, Haoran, et al.
Published: (2024)
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
by: Thulke, David, et al.
Published: (2025)
by: Thulke, David, et al.
Published: (2025)
Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models
by: Zhang, Bryan, et al.
Published: (2024)
by: Zhang, Bryan, et al.
Published: (2024)
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)
by: Park, Jinyoung, et al.
Published: (2023)
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024)
by: Sannidhi, Geethan, et al.
Published: (2024)
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
by: Kim, Sunghwan, et al.
Published: (2025)
by: Kim, Sunghwan, et al.
Published: (2025)
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
by: Liao, Ruotong, et al.
Published: (2023)
by: Liao, Ruotong, et al.
Published: (2023)
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
by: Li, Xiaodi, et al.
Published: (2025)
by: Li, Xiaodi, et al.
Published: (2025)
Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging
by: Tozuka, Ryota, et al.
Published: (2024)
by: Tozuka, Ryota, et al.
Published: (2024)
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation
by: Thakrar, Karishma
Published: (2024)
by: Thakrar, Karishma
Published: (2024)
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)
by: Xiao, Yongkang, et al.
Published: (2025)
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
by: Huang, Yukun, et al.
Published: (2025)
by: Huang, Yukun, et al.
Published: (2025)
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
by: Liu, Ben, et al.
Published: (2024)
by: Liu, Ben, et al.
Published: (2024)
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
by: Cabello, Laura, et al.
Published: (2024)
by: Cabello, Laura, et al.
Published: (2024)
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
by: Zhang, Haozhen, et al.
Published: (2024)
by: Zhang, Haozhen, et al.
Published: (2024)
Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models
by: Khalila, Zahra, et al.
Published: (2025)
by: Khalila, Zahra, et al.
Published: (2025)
Non-linear Interventions on Large Language Models
by: Kim, Sangwoo
Published: (2026)
by: Kim, Sangwoo
Published: (2026)
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
by: Liu, Fengchen, et al.
Published: (2024)
by: Liu, Fengchen, et al.
Published: (2024)
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
by: Seo, Yeongbin, et al.
Published: (2025)
by: Seo, Yeongbin, et al.
Published: (2025)
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
by: Kim, Dahyun, et al.
Published: (2023)
by: Kim, Dahyun, et al.
Published: (2023)
Evaluating Robustness of Reward Models for Mathematical Reasoning
by: Kim, Sunghwan, et al.
Published: (2024)
by: Kim, Sunghwan, et al.
Published: (2024)
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
by: Mavromatis, Costas, et al.
Published: (2024)
by: Mavromatis, Costas, et al.
Published: (2024)
Nevermind: Instruction Override and Moderation in Large Language Models
by: Kim, Edward
Published: (2024)
by: Kim, Edward
Published: (2024)
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)
by: Islam, Shayekh Bin, et al.
Published: (2024)
Similar Items
-
Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems
by: Prahlad, Deeksha, et al.
Published: (2026) -
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024) -
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
by: Kim, Junsol, et al.
Published: (2023) -
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025) -
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
by: Ko, Sungho, et al.
Published: (2024)