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cs.IR2025
Towards Comprehensible Recommendation with Large Language Model Fine-tuning
Yunze Luo, Yinjie Jiang, Gaode Chen +2
Recommender systems have become increasingly ubiquitous in daily life. While traditional recommendation approaches primarily rely on ID-based representations or item-side content f…
cs.LG2025
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
Knowledge distillation is a model compression technique in which a compact "student" network is trained to replicate the predictive behavior of a larger "teacher" network. In logit…