| 1 |
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database |
CardioMM:通用心血管磁共振重建基础模型,加速异构临床环境下的超快速成像 |
foundation model multimodal |
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| 2 |
A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning |
提出基于LLaVA和逻辑树推理的医学多模态诊断框架,提升诊断准确性和可解释性。 |
large language model multimodal |
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| 3 |
LLM-I2I: Boost Your Small Item2Item Recommendation Model with Large Language Model |
LLM-I2I:利用大语言模型提升小规模Item2Item推荐模型性能 |
large language model |
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| 4 |
Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning |
AI解释可信吗?思维链推理中存在系统性信息隐瞒现象 |
chain-of-thought |
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| 5 |
Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning |
提出基于共识驱动推理的负责任且可解释的AI Agent架构 |
large language model |
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| 6 |
Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study |
首个LLM指令级GPU软错误注入分析,揭示模型架构、规模和任务复杂度的影响 |
large language model |
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| 7 |
LogicLens: Visual-Logical Co-Reasoning for Text-Centric Forgery Analysis |
提出LogicLens,用于文本中心伪造分析的视觉-逻辑协同推理。 |
chain-of-thought |
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