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Hong-Qing Liang

1 accepted papers

2025

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization

EMNLP 2025

Materials characterization is fundamental to acquiring materials information, revealing the processing-microstructure-property relationships that guide material design and optimization. While multimodal large language models (MLLMs) have recently shown promise in generative and predictive tasks with