Exploring Approaches for Detecting Memorization of Recommender System Data in Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Colacicco, Antonio, Guida, Vito, Di Palma, Dario, Narducci, Fedelucio, Di Noia, Tommaso |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
par: Di Palma, Dario, et autres
Publié: (2026)
par: Di Palma, Dario, et autres
Publié: (2026)
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
par: Di Palma, Dario, et autres
Publié: (2023)
par: Di Palma, Dario, et autres
Publié: (2023)
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
par: Di Palma, Dario, et autres
Publié: (2025)
par: Di Palma, Dario, et autres
Publié: (2025)
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
par: Pomo, Claudio, et autres
Publié: (2025)
par: Pomo, Claudio, et autres
Publié: (2025)
Interactive Question Answering Systems: Literature Review
par: Biancofiore, Giovanni Maria, et autres
Publié: (2022)
par: Biancofiore, Giovanni Maria, et autres
Publié: (2022)
LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing
par: Di Palma, Dario, et autres
Publié: (2025)
par: Di Palma, Dario, et autres
Publié: (2025)
GradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language Models
par: Tritto, Mattia, et autres
Publié: (2025)
par: Tritto, Mattia, et autres
Publié: (2025)
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
par: Deldjoo, Yashar, et autres
Publié: (2024)
par: Deldjoo, Yashar, et autres
Publié: (2024)
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
par: Nazary, Fatemeh, et autres
Publié: (2025)
par: Nazary, Fatemeh, et autres
Publié: (2025)
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
par: Attimonelli, Matteo, et autres
Publié: (2025)
par: Attimonelli, Matteo, et autres
Publié: (2025)
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
par: Anelli, Vito Walter, et autres
Publié: (2023)
par: Anelli, Vito Walter, et autres
Publié: (2023)
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
par: Abbattista, Davide, et autres
Publié: (2024)
par: Abbattista, Davide, et autres
Publié: (2024)
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
par: Malitesta, Daniele, et autres
Publié: (2024)
par: Malitesta, Daniele, et autres
Publié: (2024)
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
par: Mancino, Alberto Carlo Maria, et autres
Publié: (2024)
par: Mancino, Alberto Carlo Maria, et autres
Publié: (2024)
Large-scale Benchmarks for Multimodal Recommendation with Ducho
par: Attimonelli, Matteo, et autres
Publié: (2024)
par: Attimonelli, Matteo, et autres
Publié: (2024)
On the Impact of Graph Neural Networks in Recommender Systems: A Topological Perspective
par: Malitesta, Daniele, et autres
Publié: (2025)
par: Malitesta, Daniele, et autres
Publié: (2025)
Recommender Systems in the Era of Large Language Models (LLMs)
par: Zhao, Zihuai, et autres
Publié: (2023)
par: Zhao, Zihuai, et autres
Publié: (2023)
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
par: Nazary, Fatemeh, et autres
Publié: (2025)
par: Nazary, Fatemeh, et autres
Publié: (2025)
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach
par: Malitesta, Daniele, et autres
Publié: (2024)
par: Malitesta, Daniele, et autres
Publié: (2024)
WarpRec: Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation
par: Avolio, Marco, et autres
Publié: (2026)
par: Avolio, Marco, et autres
Publié: (2026)
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
par: Nazary, Fatemeh, et autres
Publié: (2025)
par: Nazary, Fatemeh, et autres
Publié: (2025)
Formalizing Multimedia Recommendation through Multimodal Deep Learning
par: Malitesta, Daniele, et autres
Publié: (2023)
par: Malitesta, Daniele, et autres
Publié: (2023)
XRec: Large Language Models for Explainable Recommendation
par: Ma, Qiyao, et autres
Publié: (2024)
par: Ma, Qiyao, et autres
Publié: (2024)
Large Language Models as Narrative-Driven Recommenders
par: Eberhard, Lukas, et autres
Publié: (2024)
par: Eberhard, Lukas, et autres
Publié: (2024)
Balancing Accuracy and Novelty with Sub-Item Popularity
par: Mallamaci, Chiara, et autres
Publié: (2025)
par: Mallamaci, Chiara, et autres
Publié: (2025)
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
par: Zhou, Yuqi, et autres
Publié: (2024)
par: Zhou, Yuqi, et autres
Publié: (2024)
Cognitive Biases in Large Language Models for News Recommendation
par: Lyu, Yougang, et autres
Publié: (2024)
par: Lyu, Yougang, et autres
Publié: (2024)
Stealthy Attack on Large Language Model based Recommendation
par: Zhang, Jinghao, et autres
Publié: (2024)
par: Zhang, Jinghao, et autres
Publié: (2024)
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
par: Zheng, Kai, et autres
Publié: (2024)
par: Zheng, Kai, et autres
Publié: (2024)
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
par: He, Zhankui, et autres
Publié: (2024)
par: He, Zhankui, et autres
Publié: (2024)
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
par: Zhao, Qian, et autres
Publié: (2024)
par: Zhao, Qian, et autres
Publié: (2024)
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
par: Ma, Luyi, et autres
Publié: (2024)
par: Ma, Luyi, et autres
Publié: (2024)
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering
par: Bufi, Salvatore, et autres
Publié: (2024)
par: Bufi, Salvatore, et autres
Publié: (2024)
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
par: Yoon, Se-eun, et autres
Publié: (2024)
par: Yoon, Se-eun, et autres
Publié: (2024)
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
par: Lyu, Hanjia, et autres
Publié: (2023)
par: Lyu, Hanjia, et autres
Publié: (2023)
Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
par: Liu, Yutian, et autres
Publié: (2025)
par: Liu, Yutian, et autres
Publié: (2025)
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
par: Li, Lei, et autres
Publié: (2023)
par: Li, Lei, et autres
Publié: (2023)
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion
par: Fasano, Giuseppe, et autres
Publié: (2025)
par: Fasano, Giuseppe, et autres
Publié: (2025)
Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction
par: Malitesta, Daniele, et autres
Publié: (2024)
par: Malitesta, Daniele, et autres
Publié: (2024)
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
par: Vats, Arpita, et autres
Publié: (2024)
par: Vats, Arpita, et autres
Publié: (2024)
Documents similaires
-
Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
par: Di Palma, Dario, et autres
Publié: (2026) -
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
par: Di Palma, Dario, et autres
Publié: (2023) -
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
par: Di Palma, Dario, et autres
Publié: (2025) -
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
par: Pomo, Claudio, et autres
Publié: (2025) -
Interactive Question Answering Systems: Literature Review
par: Biancofiore, Giovanni Maria, et autres
Publié: (2022)