Cover Image

News Recommendation with Category Description by a Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yada, Yuki, Yamana, Hayato
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Aware Explainable Recommendation with Large Language Models
by: Peng, Yicui, et al.
Published: (2024)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
by: Zhang, Weizhi, et al.
Published: (2025)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
by: Hadad, Guy, et al.
Published: (2025)

The Problem of Coherence in Natural Language Explanations of Recommendations
by: Raczyński, Jakub, et al.
Published: (2023)

The Factuality of Large Language Models in the Legal Domain
by: Hamdani, Rajaa El, et al.
Published: (2024)

On Bilingual Lexicon Induction with Large Language Models
by: Li, Yaoyiran, et al.
Published: (2023)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
by: Shimizu, Ryotaro, et al.
Published: (2024)

Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)

Graph-based Confidence Calibration for Large Language Models
by: Li, Yukun, et al.
Published: (2024)

Retrieval meets Long Context Large Language Models
by: Xu, Peng, et al.
Published: (2023)

PaCE: Parsimonious Concept Engineering for Large Language Models
by: Luo, Jinqi, et al.
Published: (2024)

Delta Activations: A Representation for Finetuned Large Language Models
by: Xu, Zhiqiu, et al.
Published: (2025)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
by: Nigam, Shubham Kumar, et al.
Published: (2024)

Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications
by: Lin, Ethan, et al.
Published: (2024)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2023)

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
by: Yang, Tiannuo, et al.
Published: (2025)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
by: Qiu, Yifu, et al.
Published: (2025)

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023)

Sentiment-Aware Recommendation Systems in E-Commerce: A Review from a Natural Language Processing Perspective
by: Gajula, Yogesh
Published: (2025)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
by: Hua, Wenyue, et al.
Published: (2023)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2024)

HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024)

MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning
by: Davis, Joshua, et al.
Published: (2025)

Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
by: Zhuang, Jun, et al.
Published: (2024)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
by: Sachdev, Jayant, et al.
Published: (2025)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2024)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)

Improving Crash Data Quality with Large Language Models: Evidence from Secondary Crash Narratives in Kentucky
by: Zhang, Xu, et al.
Published: (2025)

OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
by: Qiang, Zhangcheng, et al.
Published: (2025)

Editing Conceptual Knowledge for Large Language Models
by: Wang, Xiaohan, et al.
Published: (2024)

BookWorm: A Dataset for Character Description and Analysis
by: Papoudakis, Argyrios, et al.
Published: (2024)

Sequential LLM Framework for Fashion Recommendation
by: Liu, Han, et al.
Published: (2024)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)

LLM-Enhanced Linear Autoencoders for Recommendation
by: Moon, Jaewan, et al.
Published: (2025)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
by: Zhang, Lingxi, et al.
Published: (2024)

Unified Hallucination Detection for Multimodal Large Language Models
by: Chen, Xiang, et al.
Published: (2024)