#flow-networks News & Analysis

3 articles tagged with #flow-networks. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · 3d ago7/10

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FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors

FlowTime introduces a novel 'Continuous Generative Regression' paradigm for watch time prediction in short-video recommender systems, addressing limitations of existing regression, ordinal, and discrete generative approaches. The method uses flow-based personalized priors within a one-step generative VAE to model multimodal user-item interaction patterns while reducing inference latency, demonstrating superior performance in both offline experiments and A/B testing.

AINeutralarXiv – CS AI · 3d ago6/10

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

Researchers introduce GFlowGR, a new fine-tuning framework for generative recommendation systems that addresses the exposure bias problem in large language model-based recommenders. By leveraging Generative Flow Networks alongside collaborative filtering principles, the approach demonstrates improved performance over standard supervised fine-tuning and direct preference optimization methods.

AINeutralarXiv – CS AI · Mar 34/104

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Learning Shortest Paths with Generative Flow Networks

Researchers present a novel framework using Generative Flow Networks (GFlowNets) to solve shortest path problems in graphs. The method proves that minimizing total flow forces GFlowNets to traverse only shortest paths, demonstrating competitive performance in pathfinding tasks including solving Rubik's Cubes with smaller search budgets than existing approaches.