14 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.IR2025
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
Sein Kim, Hongseok Kang, Kibum Kim +6
Large Language Models (LLMs) have recently emerged as promising tools for recommendation thanks to their advanced textual understanding ability and context-awareness. Despite the c…
cs.AI2023
Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors
Sang-Hyun Je, Wontae Choi, Kwangjin Oh
The goal of knowledge graph completion (KGC) is to predict missing links in a KG using trained facts that are already known. In recent, pre-trained language model (PLM) based metho…
cs.LG2022★ 14 cited
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
Wonyoung Shin, Jonghun Park, Taekang Woo +3
Understanding vision and language representations of product content is vital for search and recommendation applications in e-commerce. As a backbone for online shopping platforms…