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.
arXiv preprint arXiv:2510.11083 (2025)
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SpanVLA reduces action generation latency via flow-matching conditioned on history and improves robustness by training on negative-recovery samples with GRPO and a dedicated reasoning dataset.
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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.
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SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model
SpanVLA reduces action generation latency via flow-matching conditioned on history and improves robustness by training on negative-recovery samples with GRPO and a dedicated reasoning dataset.