Papers with dual-loop framework

    1 papers
    From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language (2026.acl-long)

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    Challenge: Recent large language model-based AD research offers new avenues to address this challenge.
    Approach: They propose a small language model (SLM) for high-level semantic reasoning and schedule generation, while an inner loop performs low-level, high-frequency schedule execution and vehicle control.
    Outcome: The proposed framework improves instruction completion rates while maintaining high safety and compliance relative to multiple baselines.

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