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When a materials LLM answers a question about crystal structure, does it reason from the structure or copy an answer already printed in its input? Accuracy cannot tell: a structural description often prints the very field it is scored against. CARAT holds question and gold answer fixed across eight matched views, names...
The multimodal large language models (MLLMs) have achieved breakthroughs in remote sensing applications because of their powerful cross-modal understanding, enabling effective alignment between linguistic descriptions and visual data. However, the existing MLLM-based approaches still suffer from challenges, such as ina...
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