most citedOne-dimensional asymmetrically interacting quantum droplets in Bose-Bose mixtures

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cs.IR2026

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

Weiqin Yang, Yue Pan, Chongming Gao +4

We identify a critical pitfall in scaling transformer-based sequential recommenders: while increasing model size improves recommendation accuracy, it simultaneously amplifies popul…

cs.IR2026

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models

Weiqin Yang, Bohao Wang, Zhenxiang Xu +5

Recent years have seen a rapid surge in research leveraging Large Language Models (LLMs) for recommendation. These methods typically employ supervised fine-tuning (SFT) to adapt LL…