| 1 |
IECG: Weakly-Supervised Interpretability-Enhancing Foundation Model for Electrocardiogram |
提出IECG以解决心电图分析中的可解释性问题 |
foundation model multimodal |
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| 2 |
TriGeoBench: A Multimodal Mathematical Geometry Benchmark with Figures and TikZ |
提出TriGeoBench以解决几何推理不足的问题 |
large language model multimodal |
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| 3 |
Beyond the Sequentiality Bottleneck: A Hybrid Diffusion-Autoregressive Framework for Efficient Multimodal Reasoning |
提出CoRAL框架以解决自回归模型推理效率低下问题 |
multimodal |
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| 4 |
ACE-Compression: An Ability-Centric Evaluation of Compressed Large Language Models |
提出ACE-Compression框架以评估压缩大语言模型的能力保留 |
large language model |
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| 5 |
MMEnterprise-Bench: Evaluating Enterprise Agents over Evolving Multimodal Records |
提出MMEnterprise-Bench以评估企业智能体在多模态记录中的表现 |
multimodal |
✅ |
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| 6 |
Hallucinations of Large Language Models in Cross-Language Code Translation: Phenomena and Mitigation |
提出HaluCodeTran以缓解跨语言代码翻译中的幻觉问题 |
large language model |
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| 7 |
A Unified Attack Framework against Statistical Generative Watermarks for Large Language Models |
提出统一攻击框架以破解大型语言模型的统计生成水印 |
large language model |
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| 8 |
ChartEvo: Self-Evolving Agent Harnesses for Long-Tail Chart Reasoning |
提出ChartEvo以解决长尾图表推理问题 |
large language model multimodal |
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| 9 |
DIVE: Benchmarking Full-Duplex Interaction with Visual Engagement in Continuous Streams |
提出DIVE基准以解决实时多模态交互评估问题 |
large language model multimodal |
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| 10 |
KPHarness: Co-Evolving Knowledge and Probing for Long-Horizon Gaming Harnesses |
提出KPHarness框架以解决长时间游戏中的干预适应问题 |
vision-language-action |
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| 11 |
Local Work, Global Progress: A Convergence Theory of AI Agent Collaboration |
提出基于块优化的AI代理协作理论以提升任务效率 |
large language model |
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| 12 |
From Code Generator to Engineering Companion: A Plant-aware Agent for PLC Programming |
提出植物感知对话助手以优化PLC编程过程 |
large language model |
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| 13 |
Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas |
提出VB-EGE算法以高效识别多目标LLM的Pareto前沿 |
large language model |
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| 14 |
GBClaw: An agentic AI framework for atomistic grain boundary research and mechanistic discovery |
提出GBClaw框架以解决晶界研究中的复杂性问题 |
large language model |
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| 15 |
Semantic Observability for Autonomous Systems Diagnostics |
提出语义可观测性框架以解决故障诊断问题 |
large language model |
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| 16 |
Stratified Sparse Attention: Reducing the Sparse-to-Dense Gap at Extreme Sparsity |
提出分层稀疏注意力以解决极端稀疏下的性能瓶颈问题 |
large language model |
✅ |
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| 17 |
A Digital Twin to Improve Cyber-Social Impact |
提出数字双胞胎框架以改善网络社会影响评估 |
large language model |
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| 18 |
Local Inference of LLMs on Long Contexts: A Data Systems Perspective |
提出本地推理方法以解决长上下文模型的使用限制 |
large language model |
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| 19 |
MaD-RSI: Model-as-Data for Recursive Self-Improvement of Agent Harnesses |
提出MaD-RSI以解决大语言模型自我改进的局限性 |
large language model |
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| 20 |
RAG-NIMBF: A Non-Invasive, Modular Benchmarking Framework for Automated RAG Configuration Analysis |
提出RAG-NIMBF以解决RAG配置分析的挑战 |
large language model |
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| 21 |
E8-QAT: Efficient 2-Bit Quantization-Aware Training with Implicit Lattice Codebooks |
提出E8-QAT以解决低比特量化训练中的精度保持问题 |
large language model |
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| 22 |
Pattern Intelligence: Unsupervised, LLM-Interpreted Discovery of Systematic Underpayment and Denial Patterns in Healthcare Revenue Cycle Management |
提出Pattern Intelligence以解决医疗收入周期管理中的系统性欠款与拒赔问题 |
large language model |
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| 23 |
When Can LLM Reasoning Reliably Reuse Intermediate Results? |
提出中间结果重用策略以提高大语言模型推理效率 |
large language model |
✅ |
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