most citedEvery FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

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cs.IR2026

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems

Jiaming Zhang, Yuyuan Li, Xiaohua Feng +4

Large Language Model-based Recommender Systems (LRSs) have recently emerged as a new paradigm in sequential recommendation by directly adopting LLMs as backbones. While LRSs demons…