Cover Image

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jaehyun, Jang, Sanghwan, Kang, SeongKu, Yu, Hwanjo
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty Quantification and Decomposition for LLM-based Recommendation
by: Kweon, Wonbin, et al.
Published: (2025)

Top-Personalized-K Recommendation
by: Kweon, Wonbin, et al.
Published: (2024)

Knowledge Distillation Approaches for Accurate and Efficient Recommender System
by: Kang, SeongKu
Published: (2024)

BPL: Bias-adaptive Preference Distillation Learning for Recommender System
by: Kang, SeongKu, et al.
Published: (2025)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
by: Ju, Hyunjun, et al.
Published: (2024)

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
by: Kim, Tongyoung, et al.
Published: (2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search
by: Kang, SeongKu, et al.
Published: (2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
by: Kang, SeongKu, et al.
Published: (2024)

Continual Collaborative Distillation for Recommender System
by: Lee, Gyuseok, et al.
Published: (2024)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
by: Kang, SeongKu, et al.
Published: (2025)

Capturing User Interests from Data Streams for Continual Sequential Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)

Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks
by: Lee, Jaehyun, et al.
Published: (2024)

Deep Rating Elicitation for New Users in Collaborative Filtering
by: Kweon, Wonbin, et al.
Published: (2024)

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
by: Zhang, Yunyi, et al.
Published: (2025)

CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
by: Son, HuiJeong, et al.
Published: (2026)

Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
by: Lee, Sangam, et al.
Published: (2025)

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
by: Kweon, Wonbin, et al.
Published: (2025)

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
by: Kim, Junyoung, et al.
Published: (2026)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
by: Hu, Zheng, et al.
Published: (2024)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)

Tuning-Free LLM Can Build A Strong Recommender Under Sparse Connectivity And Knowledge Gap Via Extracting Intent
by: Zheng, Wenqing, et al.
Published: (2025)

Improving Scientific Document Retrieval with Academic Concept Index
by: Lee, Jeyun, et al.
Published: (2026)

Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
by: Tang, Heng, et al.
Published: (2025)

Selective LLM-Guided Regularization for Enhancing Recommendation Models
by: Yang, Shanglin, et al.
Published: (2025)

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
by: Kim, WooJoo, et al.
Published: (2026)

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)

Knowledge Graph Pruning for Recommendation
by: Lin, Fake, et al.
Published: (2024)

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)

Reliable Decision Making via Calibration Oriented Retrieval Augmented Generation
by: Jang, Chaeyun, et al.
Published: (2024)

Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
by: Wang, Zhaoyan, et al.
Published: (2025)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
by: Tian, Runchu, et al.
Published: (2025)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
by: Wang, Guanchen, et al.
Published: (2025)

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
by: Xu, Haozhe, et al.
Published: (2025)

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
by: Gu, Shengkang, et al.
Published: (2025)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, et al.
Published: (2025)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
by: Lee, Sangam, et al.
Published: (2024)