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Jian-Yun Nie

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Preprint Sep 2026

Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting

In recommender systems, user feedback typically follows a long-tail distribution, which leads many recommendation algorithms to exacerbate popularity bias by disproportionately favoring popular items. To mitigate this issue, recent studies have employed Inverse Propensity Scoring (IPS) to rebalance training data via re...

Tian-Yu Zhu, Jian-Dong Ding, Yan-Song Shi et al. · 0 citations
Jul 2026

Search-on-Graph-R1: Training Large Language Models to Search Knowledge Graphs with Reinforcement Learning

Search-on-Graph-R1 (\sogrone{}), which internalizes this navigation into a compact 8B model through supervised fine-tuning (SFT) followed by reinforcement learning (RL), which surpasses every frozen frontier-LLM system in their comparison and posts the strongest results on CWQ of any system the authors compare against.

J. Sun, Hao Yu, Fengran Mo et al. · 1 citation · ⚡1

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