| 1 |
Wireless Traffic Prediction with Large Language Model |
提出TIDES框架,利用大语言模型进行城市无线流量预测,显著提升预测精度和鲁棒性。 |
large language model foundation model |
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| 2 |
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models |
构建选择性遗忘隐私漏洞基准,评估大语言模型的隐私泄露风险 |
large language model |
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| 3 |
Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler |
提出Re-ALPS算法,加速多模态分布采样,无需高斯近似。 |
multimodal |
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| 4 |
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection |
提出动态冲突-共识框架DCCF,用于增强多模态假新闻检测中矛盾信息的利用。 |
multimodal |
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| 5 |
Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing |
提出FlashCodec和UnifiedServe,通过GPU内调度和资源共享加速多阶段MLLM推理。 |
large language model multimodal |
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| 6 |
Graph-based Nearest Neighbors with Dynamic Updates via Random Walks |
提出基于随机游走的动态更新图最近邻搜索算法,支持高效删除操作 |
large language model |
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| 7 |
A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients |
发布ICU心电图房颤检测数据集与基准,验证ECG基础模型有效性 |
foundation model |
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| 8 |
Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow |
提出基于加权随机微分方程的Wasserstein-Fisher-Rao梯度流方法,提升生成模型采样效率。 |
multimodal |
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| 9 |
Hierarchical Sparse Plus Low Rank Compression of LLM |
提出分层稀疏加低秩压缩(HSS)方法,用于压缩LLM并保持性能。 |
large language model |
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