finding
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finding:multimodal-cot-trained-with-instructblip-chatgpt-generated-rationales-achieves-87-76-accuracy-on-scienceqa-comparable-to-human-annotated-rationale-performance-of-90-45

Multimodal-CoT trained with InstructBLIP/ChatGPT-generated rationales achieves 87.76% accuracy on ScienceQA, comparable to human-annotated rationale performance of 90.45%

zhang-2023-multimodal.md
Frontmatter (9 fields)
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  "context": "Evidence that Multimodal-CoT can operate without human-annotated reasoning chains by using large models to generate pseudo-rationales.",
  "norm_label": "Multimodal-CoT trained with InstructBLIP/ChatGPT-generated rationales achieves 87.76% accuracy on ScienceQA, comparable to human-annotated rationale performance of 90.45%",
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    zhang-2023-multimodal.md