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University of Science and Technology of China
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VAKE reveals that over 80% of the knowledge activated through explicit priming is crucial for answering questions, showcasing a new pathway to enhance LLM factual accuracy.
DART-SD reveals that leveraging diamond-topology awareness can drastically improve policy diversity and performance in multi-turn tool-calling agents.
Intern-S2-Preview-397B not only excels in multimodal scientific reasoning but also enhances biological instruction performance without altering its foundational architecture.
MLLMs show a striking performance gap in understanding evoked versus expressed emotions, revealing a crucial blind spot in current AI emotional intelligence.
3DGSI-Assessor reveals that traditional IQA metrics fail to capture critical distortions in 3D Gaussian Splatting, leading to a breakthrough in multi-dimensional quality assessment.
