4 papers
KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment
Jinkyeong Choi, Chaebin Jeong, Donghyeon Park
Template-based contrastive synthesis is scalable, but its candidates often differ only in a few entity-slots while sequence-level optimization spreads supervision over mostly share…
SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation
Jinkyeong Choi, Yejin Noh, Donghyeon Park
In sequential recommendation systems, data augmentation and contrastive learning techniques have recently been introduced using diffusion models to achieve robust representation le…
ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
Moonsoo Park, Seulbeen Je, Donghyeon Park
In recommender systems, large language models (LLMs) have gained popularity for generating descriptive summarization to improve recommendation robustness, along with Graph Convolut…
Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task
Hoonick Lee, Mogan Gim, Donghyeon Park +2
The advent of Large Language Models (LLMs) have shown promise in various creative domains, including culinary arts. However, many LLMs still struggle to deliver the desired level o…