| 1 |
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models |
利用大语言模型发现活动中的结构单元,提升智能家居场景下活动识别性能 |
large language model |
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| 2 |
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes |
PRESTO:渐进式预训练提升合成化学任务性能 |
large language model multimodal |
✅ |
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| 3 |
SDQ: Sparse Decomposed Quantization for LLM Inference |
提出SDQ:一种稀疏分解量化方法,用于加速LLM推理并降低内存占用。 |
large language model |
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| 4 |
Prose-to-P4: Leveraging High Level Languages |
利用大型语言模型,实现自然语言到P4数据平面代码的自动生成。 |
large language model |
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| 5 |
BoA: Attention-aware Post-training Quantization without Backpropagation |
提出BoA:一种无需反向传播的注意力感知后训练量化方法 |
large language model |
✅ |
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