| 1 |
A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories |
构建BUS-CoT乳腺超声数据集,覆盖所有组织病理学类别,促进AI链式推理研究。 |
chain-of-thought |
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| 2 |
From Prediction to Understanding: Will AI Foundation Models Transform Brain Science? |
探讨AI基础模型在脑科学中的应用:从预测到理解的挑战与机遇 |
foundation model |
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| 3 |
MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE |
提出RoE:一种基于专家路由随机性的超并行推理方法,提升MoE模型性能。 |
large language model chain-of-thought |
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| 4 |
Governing Automated Strategic Intelligence |
利用多模态大模型自动化战略情报分析,提升国家战略竞争力 |
foundation model multimodal |
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| 5 |
seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs |
seqBench:可调基准测试,量化LLM的序列推理能力极限 |
large language model |
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| 6 |
Similarity Field Theory: A Mathematical Framework for Intelligence |
提出相似性场论,为理解智能系统提供数学框架。 |
large language model |
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| 7 |
MCTS-EP: Empowering Embodied Planning with Online Preference Optimization |
MCTS-EP:结合在线偏好优化的蒙特卡洛树搜索赋能具身智能规划 |
large language model |
✅ |
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| 8 |
Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering |
Prompt-with-Me:IDE内结构化提示管理,提升LLM驱动的软件工程效率 |
large language model |
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| 9 |
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software |
AdaptiveGuard:面向LLM软件的自适应运行时安全防护 |
large language model |
✅ |
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| 10 |
The Principles of Human-like Conscious Machine |
提出类人意识机器的充分性判据与设计原则,探索通用人工智能新范式 |
large language model |
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