On the SciVQA 2025 benchmark, an InternVL3 model with optimized prompts and chain-of-thought instructions reaches ROUGE-1 and ROUGE-L F1 of 0.740, and a figure-type-aware ensemble ranks 5th.
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Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling
On the SciVQA 2025 benchmark, an InternVL3 model with optimized prompts and chain-of-thought instructions reaches ROUGE-1 and ROUGE-L F1 of 0.740, and a figure-type-aware ensemble ranks 5th.