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Combining text, images, and audio from academic papers can dramatically boost keyword extraction accuracy, revealing the untapped potential of multimodal data.
SelfCompact reveals that language models can autonomously manage context decay, achieving up to 18.1 points improvement in performance while cutting token costs by 30-70%.
MiniMax-M2 proves that massive parameter counts don't always translate to better agentic performance; strategic activation of a smaller subset can unlock frontier-level intelligence.