6 citations · 30 across the 34 of their papers we have counts for
Showing 2024 · cs.IRShow all
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cs.IR2024★ 1 cited
Efficient Inference for Large Language Model-based Generative Recommendation
Xinyu Lin, Chaoqun Yang, Wenjie Wang +5
Large Language Model (LLM)-based generative recommendation has achieved notable success, yet its practical deployment is costly particularly due to excessive inference latency caus…
cs.IR2024★ 1 cited
Learnable Item Tokenization for Generative Recommendation
Wenjie Wang, Honghui Bao, Xinyu Lin +5
Utilizing powerful Large Language Models (LLMs) for generative recommendation has attracted much attention. Nevertheless, a crucial challenge is transforming recommendation data in…
cs.IR2024★ 6 cited
A Federated Framework for LLM-based Recommendation
Jujia Zhao, Wenjie Wang, Chen Xu +2
Large Language Models (LLMs) have empowered generative recommendation systems through fine-tuning user behavior data. However, utilizing the user data may pose significant privacy…