LaViPlan uses RLVR with GRPO and ADE/FDE rewards to fine-tune a 2B VLM for trajectory prediction, improving ADE/FDE on ROADWork and a normalized safety score on CODA-LM over supervised fine-tuning.
Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
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LaViPlan : Language-Guided Visual Path Planning with RLVR
LaViPlan uses RLVR with GRPO and ADE/FDE rewards to fine-tune a 2B VLM for trajectory prediction, improving ADE/FDE on ROADWork and a normalized safety score on CODA-LM over supervised fine-tuning.