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A novel PEFT method termed position anchor tuning (PAT) is proposed, which performs comparably to state-of-the-art methods while incurring significantly lower computational overhead and fewer trainable parameters.
Even top-tier VLMs score just 0.632 when reverse-engineering AI video prompts, frequently hallucinating plausible descriptions that completely fail to reproduce the source video's camera and stylistic controls.
