| 1 |
GlucoAgent: Personalized Glucose Forecasting from Multimodal Personal Context |
提出GlucoAgent以解决个性化血糖预测问题 |
foundation model multimodal |
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| 2 |
Feeling of Knowing in Large Language Models |
提出功能性知识感知通道以解决大语言模型的知识判断不一致问题 |
large language model |
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| 3 |
The Platonic Brain: Representational Convergence in EEG Foundation Models |
提出脑电图基础模型以验证普拉托尼克表征假设 |
foundation model |
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| 4 |
DGC-Net: Cross-Modal Dynamic Routing with Global-Guided Compensation in Multimodal Sentiment Analysis |
提出DGC-Net以解决多模态情感分析中的跨模态不一致问题 |
multimodal |
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| 5 |
Large Language Model-Assisted Adaptive Heuristic Search for Agile Earth Observation Satellite Scheduling |
提出大语言模型辅助的自适应启发式搜索以解决敏捷地球观测卫星调度问题 |
large language model |
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| 6 |
AceAction-5M: Hierarchical Goals for Generalist Action Learning Across 3D Game Worlds |
提出AceAction数据集以解决3D游戏中的行动学习问题 |
vision-language-action VLA |
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| 7 |
Adversarial Speculative Reasoning Improves Long Horizon Agents |
提出对抗性推测推理以提升长时间跨度智能体的推理能力 |
large language model |
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| 8 |
The Geometry of Ignorance: Detecting Suppressed Knowledge in LLMs through Activation Fragmentation |
提出几何一致性框架以检测LLM中的知识抑制问题 |
large language model |
✅ |
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| 9 |
Creating Power Flexibility in Datacenters via Query Routing |
通过查询路由实现数据中心的电力灵活性 |
large language model |
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| 10 |
From Opinions to Commitments: Unstable Assignments and Silent Choices in AI-Mediated Proposals |
提出审计机制以解决AI中提案的选择不稳定性问题 |
large language model |
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| 11 |
LatentTriad: Pre-Action Risk Representations for Malicious Agent Skill Detection |
提出LatentTriad以解决恶意代理技能检测中的风险问题 |
large language model |
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| 12 |
ALBI: LLM-Guided Inductive Logic Programming via Iterative Generate-Test-Constrain Refineme |
提出ALBI框架以提升归纳逻辑编程的效率与准确性 |
large language model |
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| 13 |
The Pen is Mightier than the Pixel: Natural Textual Unlearnable Example for Large Vision Language Models |
提出自然文本不可学习示例以保护大规模视觉语言模型 |
multimodal |
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| 14 |
Asymptotic Optimality of $cμ$-Rule for LLM Inference Scheduling under Memory Constraint |
提出$cμ$规则以解决LLM推理调度中的内存约束问题 |
large language model |
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| 15 |
Are LLM Assistants Regulatory Ready? Answers from regenold's 2026 EU AI Act Q&A Challenge |
提出EU AI Act Q&A基准以评估LLM助手的合规性 |
large language model |
✅ |
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| 16 |
From Watching to Steering: Enabling Human-Coding Agent Collaboration through Execution Traces |
提出Vibetrace以解决人机协作中的代码执行可视化问题 |
large language model |
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| 17 |
FP4Quant: Efficient 4-Bit Communication Compression for Model-Parallel LLM Training |
提出FP4Quant以解决大规模语言模型训练中的通信瓶颈问题 |
large language model |
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| 18 |
Planning-Coding Separation in LLM-Based Code Generation: An Empirical Study |
提出规划与编码分离以提升LLM代码生成效果 |
large language model |
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| 19 |
Reliability Stress Testing of RAG Retrieval under Query-Relevant Corpus Poisoning |
提出RAG检索系统的可靠性压力测试方法以应对查询相关的语料中毒问题 |
instruction following |
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| 20 |
When the Consumer Is an Agent: Execution-Grounded Service-Level Agreements |
提出执行基础的完成合同以解决异步服务中的任务完成问题 |
large language model |
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| 21 |
Validation-Gated ML Pipeline Synthesis with Expert-Grounded Self-Evolving Skills |
提出EvoML以解决现有AutoML方法的适应性和可靠性问题 |
large language model |
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