Attention-based Ingredient Phrase Parser. - Zhengxiang Shi; Pin Ni; Meihui Wang; To Eun Kim; Aldo Lipani (ESANN, 2022)

A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems. - To Eun Kim; Aldo Lipani (SIGIR, 2022)

When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution. - Zhengxiang Shi; Jerome Ramos; To Eun Kim; Xi Wang 012; Hossein A. Rahmani; Aldo Lipani (CoRR, 2023)

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. - Fernando Diaz 001; Andrew Drozdov; To Eun Kim; Alireza Salemi; Hamed Zamani (SIGIR-AP, 2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation. - To Eun Kim; Fernando Diaz 001 (CoRR, 2024)

The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. - Fernando Diaz 001; Andrew Drozdov; To Eun Kim; Alireza Salemi; Hamed Zamani (SIGIR, 2025)

Tip of the Tongue Query Elicitation for Simulated Evaluation. - Yifan He; To Eun Kim; Fernando Diaz 001; Jaime Arguello; Bhaskar Mitra 001 (SIGIR, 2025)

LTRR: Learning To Rank Retrievers for LLMs. - To Eun Kim; Fernando Diaz 001 (CoRR, 2025)

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers. - Jushaan Singh Kalra; Xinran Zhao; To Eun Kim; Fengyu Cai; Fernando Diaz 001; Tongshuang Wu (CoRR, 2025)

TeamCMU at Touché: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search. - To Eun Kim; João Coelho; Gbemileke Onilude; Jai Singh (CoRR, 2025)