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20232026
most citedRepresentation Learning with Large Language Models for Recommendation

215 citations · 227 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding

Jingyang Deng, Zhengyang Shen, Boyang Wang +6

The development of Long-Context Large Language Models (LLMs) has markedly advanced natural language processing by facilitating the process of textual data across long documents and…

cs.IR2024★ 1 cited

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System

Xihong Yang, Heming Jing, Zixing Zhang +10

Benefiting from the strong reasoning capabilities, Large language models (LLMs) have demonstrated remarkable performance in recommender systems. Various efforts have been made to d…

cs.CL2024

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation

Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang +3

Pre-trained language models have become an integral component of question-answering systems, achieving remarkable performance. However, for practical deployment, it is crucial to p…

cs.AI2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Dongsheng Zhu, Xunzhu Tang, Weidong Han +5

This paper presents VisLingInstruct, a novel approach to advancing Multi-Modal Language Models (MMLMs) in zero-shot learning. Current MMLMs show impressive zero-shot abilities in m…

cs.CV2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks

Qian Li, Lixin Su, Jiashu Zhao +6

Text-video retrieval is a challenging task that aims to identify relevant videos given textual queries. Compared to conventional textual retrieval, the main obstacle for text-video…