Se-eun Yoon

Se sounds like second
eun sounds like garden

I'm a PhD candidate in Computer Science at UC San Diego, advised by Prof. Julian McAuley.

I like researching and developing machine learning applications to enhance user experience. This includes recommender systems, information retrieval, prediction models, and many other applications within the broader scope of data mining and natural language processing.

Since the introduction of LLMs, my research has centered on exploring their capabilities and integrating them into innovative applications, such as conversational recommendation and natural language generation.

Email: seeuny at ucsd.edu

Google Scholar

LinkedIn

Research

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
Under review

Forecasting Live Chat Intent from Browsing History [PDF]

Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, and Julian McAuley
CIKM 2024

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation [PDF]

Hyunsik Jeon, Se-eun Yoon, and Julian McAuley
CIKM 2024

Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation [PDF]

Se-eun Yoon, Hyunsik Jeon, and Julian McAuley
ArXiv Preprint

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation [PDF]

Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, and Julian McAuley
NAACL 2024

Probing Large Language Models as User Simulators for Conversational Recommendation [Video]

Se-eun Yoon, Zhankui He, and Julian McAuley
CIKM 2023 Workshop on Personalized Generative AI

Structural Patterns and Generative Models of Real-world Hypergraphs [PDF]

Manh Tuan Do, Se-eun Yoon, Bryan Hooi, and Kijung Shin
KDD 2020

How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction [PDF] [Video]

Se-eun Yoon, Hyungseok Song, Kijung Shin, and Yung Yi
WWW 2020

Solving Continual Combinatorial Selection via Deep Reinforcement Learning [PDF]

Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, and Yung Yi
IJCAI 2019

Work experience

Roblox

Research Intern — Summer 2024

Microsoft Research

Research Intern — Summer 2022