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The paper proposes EEG-AS, an algorithm selection framework that enables instance-level selection among multiple EEG foundation models by reconstructing their behaviors, thereby improving neural decoding performance.
VideoSeeker introduces a paradigm for instance-level video understanding that integrates agentic reasoning with visual prompts, achieving superior performance through automated data synthesis and reinforcement learning, outperforming GPT-4o and Gemini-2.5-Pro.