A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication
#ride-hailing #adjudication #visual-logic #framework #progressive #dispute #algorithm
π Key Takeaways
- A new framework integrates visual and logical data for ride-hailing dispute resolution.
- It uses progressive alignment to improve accuracy in adjudication processes.
- The approach aims to enhance fairness and efficiency in handling passenger-driver conflicts.
- The framework is designed to adaptively learn from case data over time.
π Full Retelling
arXiv:2603.17328v1 Announce Type: new
Abstract: The efficient adjudication of responsibility disputes is pivotal for maintaining marketplace fairness. However, the exponential surge in ride-hailing volume renders manual review intractable, while conventional automated methods lack the reasoning transparency required for quasi-judicial decisions. Although Multimodal LLMs offer a promising paradigm, they fundamentally struggle to bridge the gap between general visual semantics and rigorous eviden
π·οΈ Themes
Technology, Dispute Resolution
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Original Source
arXiv:2603.17328v1 Announce Type: new
Abstract: The efficient adjudication of responsibility disputes is pivotal for maintaining marketplace fairness. However, the exponential surge in ride-hailing volume renders manual review intractable, while conventional automated methods lack the reasoning transparency required for quasi-judicial decisions. Although Multimodal LLMs offer a promising paradigm, they fundamentally struggle to bridge the gap between general visual semantics and rigorous eviden
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