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Current multimodal LLMs still struggle to integrate information and reason critically when assessed on real scientific papers, despite progress on isolated tasks.
Ramen achieves robust test-time adaptation of VLMs in mixed-domain scenarios by selecting the right samples to adapt to, sidestepping the common pitfall of performance degradation when faced with diverse and inconsistent test data.
