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This paper introduces SciGen-Verifier, a multimodal reasoning model for explainable verification of scientific image generation, along with a new benchmark and a reinforcement learning training pipeline.
SciIR introduces a large-scale dataset (SciIR-82k) and benchmark (SciIR-Bench) to enhance scientific reasoning in text-to-image models, with fine-tuning on Qwen leading to a significant performance improvement.