Jongwuk Lee

Collaborative Distillation for Top-N Recommendation

2019

Knowledge distillation (KD) is a well-known method to reduce inference latency by compressing a cumbersome teacher model to a small student model. Despite the success of KD in the classification task, applying KD to recommender …

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion

2025 · arXiv (Cornell University)

Generative recommendation is an emerging paradigm that leverages the extensive knowledge of large language models by formulating recommendations into a text-to-text generation task. However, existing studies face two key limitations in (i) incorporating implicit item …