A progressive training framework using spatiotemporal chain-of-thought data reduces the forward-backward temporal query performance gap in VLMs from over 70% to 6.53%.
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A Progressive Training Strategy for Vision-Language Models to Counteract Spatio-Temporal Hallucinations in Embodied Reasoning
A progressive training framework using spatiotemporal chain-of-thought data reduces the forward-backward temporal query performance gap in VLMs from over 70% to 6.53%.