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Nanjing University
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TRACE transforms high-performing LLMs into consistently reliable agents, achieving a remarkable 34.6-point boost in task consistency.
MemFuse achieves superior performance in multi-source memory tasks, revealing that effective memory fusion can significantly enhance an agent's reasoning capabilities.
Effective visual tool use hinges on causally grounded supervision, not just imitating tool calls, reshaping how we train multimodal agents.
GeniWorld achieves robust zero-shot generalization in robotic manipulation, outperforming traditional models even with minimal training data.
