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RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from the Scientific Literature
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RxnBench evaluates multimodal language models on chemical-reaction understanding grounded in scientific literature. Its single-figure and full-document tasks test visual perception, mechanistic reasoning, and cross-modal synthesis across text, reaction schemes, and tables.
In brief
A multimodal benchmark for evaluating how well language models understand chemical reactions in scientific literature.