activity
20182026
most citedCrossCBR: Cross-view Contrastive Learning for Bundle Recommendation

107 citations · 198 across the 21 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CL2024★ 2 cited

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Junfeng Fang, Houcheng Jiang, Kun Wang +5

Large language models (LLMs) often exhibit hallucinations due to incorrect or outdated knowledge. Hence, model editing methods have emerged to enable targeted knowledge updates. To…

cs.IR2024

Fine-tuning Multimodal Large Language Models for Product Bundling

Xiaohao Liu, Jie Wu, Zhulin Tao +3

Recent advances in product bundling have leveraged multimodal information through sophisticated encoders, but remain constrained by limited semantic understanding and a narrow scop…

cs.CL2024

A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting

He Chang, Chenchen Ye, Zhulin Tao +5

Recently, Large Language Models (LLMs) have demonstrated great potential in various data mining tasks, such as knowledge question answering, mathematical reasoning, and commonsense…

cs.IR2024

LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation

Rebecca Salganik, Xiaohao Liu, Yunshan Ma +2

As online music consumption increasingly shifts towards playlist-based listening, the task of playlist continuation, in which an algorithm suggests songs to extend a playlist in a…

cs.CL2024

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding

Zhihan Zhang, Yixin Cao, Chenchen Ye +3

The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events. We refer to the comp…

cs.CR2024★ 3 cited

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models

Yongheng Zhang, Tingwen Du, Yunshan Ma +5

Attack knowledge graph construction seeks to convert textual cyber threat intelligence (CTI) reports into structured representations, portraying the evolutionary traces of cyber at…