| 1 |
CytoBERT: A Foundation Model for Cytometry Data |
提出CytoBERT以解决细胞计数数据异质性问题 |
foundation model |
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| 2 |
Training Fair Tabular Foundation Models |
提出FairTFM以解决表格模型公平性问题 |
foundation model |
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| 3 |
Forecast Collapse in Time-Series Foundation Models |
提出CalibRank以解决时间序列预测中的预报崩溃问题 |
foundation model |
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| 4 |
MINT: A Universal Zero-Shot Predictor for Transaction Data |
提出MINT以解决金融交易数据的零-shot预测问题 |
foundation model multimodal |
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| 5 |
Catching the Imposter: Self-Supervised Learning of Physical Coherence with Cross-Entity Feature Permutations |
提出自监督学习方法以捕捉物理一致性问题 |
foundation model |
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| 6 |
Detecting Contaminated Code-Generation Prompt Batches via Influence Functions |
提出CodeSIFT以检测受污染的代码生成提示批次 |
large language model |
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| 7 |
Model-agnostic Retrieval-Augmented Extended Forecasting for time series |
提出RAEF以提高时间序列预测的效率与准确性 |
foundation model |
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| 8 |
QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction |
提出QUASAR以降低量化感知训练的损失底线 |
large language model |
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| 9 |
Geometric Filtering of LLM-Generated Samples for Few-Shot Text Classification |
提出几何过滤框架以提升LLM生成样本在少样本文本分类中的质量 |
large language model |
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| 10 |
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions |
提出联邦提示学习框架以解决大语言模型隐私问题 |
large language model |
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