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Jinoh Oh

2 accepted papers

2026

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems

ICLR 2026poster

Large Language Models (LLMs) have recently emerged as a powerful backbone for recommender systems. Existing LLM-based recommender systems take two different approaches for representing items in natural language, i.e., Attribute-based Representation and Description-based Representation. In this work,…

Cited by 0SourcecodeScholar
2023

Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space

CVPR 2023poster

Concept-based explanation aims to provide concise and human-understandable explanations of an image classifier. However, existing concept-based explanation methods typically require a significant amount of manually collected concept-annotated images. This is costly and runs the risk of human biases…

Cited by 11SourcePDFScholar