GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks 事件

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks arXiv:2506.16114v3 Announce Type: replace-cross Abstract: Generative recommendations (GR), which usually include item tokenizers and generative Large Language Models (LLMs), have demonstrated remarkable success across a wide range of scenarios. The majority of existing research efforts primarily concentrate on developing powerful item tokenizers or advancing LLM decoding strategies to attain superior perform