A generative auto-bidding model that jointly emits a bid and an additive price correction outperforms bid-only baselines on AuctionNet and online at JD.com.
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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
GLAN replaces CQL bootstrapping with Decision Transformer sequence modeling for PLPM, using global inter-day (L-RTG) and local session (HRM) modules to achieve +0.158% DAU and +0.108% LT gains in Kuaishou online tests.
D³-Subsidy uses prefix-conditioned diffusion models to generate future subsidy trajectories from history, decoded via inverse modules and mapped with Lagrangian duality to city-level incentives.
citing papers explorer
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JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing
A generative auto-bidding model that jointly emits a bid and an additive price correction outperforms bid-only baselines on AuctionNet and online at JD.com.
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From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling
GLAN replaces CQL bootstrapping with Decision Transformer sequence modeling for PLPM, using global inter-day (L-RTG) and local session (HRM) modules to achieve +0.158% DAU and +0.108% LT gains in Kuaishou online tests.
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D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market
D³-Subsidy uses prefix-conditioned diffusion models to generate future subsidy trajectories from history, decoded via inverse modules and mapped with Lagrangian duality to city-level incentives.