2 papers
cs.CL2026
Sensory-Aware Sequential Recommendation via Review-Distilled Representations
Yeo Chan Yoon, Chanjun Park, Kyuhan Koh
Sequential recommenders learn behavioral patterns from item identifiers, while the experiential properties that users describe in reviews, such as how products look, feel, smell, t…
cs.AI2025
ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
Jeesu Jung, Chanjun Park, Sangkeun Jung
Recent efforts in LLM alignment have focused on constructing large-scale preference datasets via human or Artificial Intelligence (AI) annotators. However, such approaches rely on…