Preprints

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation [link]

Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang

• We propose SPRINT, a scalable SBR framework that incorporates reliable and informative intents while ensuring high efficiency in both training and inference.

Improving Scientific Document Retrieval with Academic Concept Index [link]

Jeyun Lee*, Junhyoung Lee*, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, SeongKu Kang

• We introduce an academic concept index that represents structured knowledge of a scientific corpus, and propose a query simulation and context extension method based on this index. 

LLM-Based Compact Reranking with Document Features for Scientific Retrieval [link]

Runchu Tian, Xueqiang Xu, Bowen Jin, SeongKu Kang, Jiawei Han

• We propose CORANK, a training-free, model-agnostic reranking framework for scientific retrieval.

Graph Signal Processing for Cross-Domain Recommendation [link]

Jeongeun Lee, SeongKu Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee

• We propose CGSP, a unified cross-domain recommendation framework based on graph signal processing.

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths [link]

Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee

• We propose HyPE, which leverages hierarchical category paths as explanation, progressing from broad to specific semantic categories. 

SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation [link]

Tongyoung Kim, Soojin Yoon, SeongKu Kang, Jinyoung Yeo, Dongha Lee

• We propose SCREC, a unified recommender system that learns diverse preference knowledge from two distinct item indices and multiple prompt templates.