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cs.DC2025
Efficient Long Context Fine-tuning with Chunk Flow
Xiulong Yuan, Hongtao Xu, Wenting Shen +10
Long context fine-tuning of large language models(LLMs) involves training on datasets that are predominantly composed of short sequences and a small proportion of longer sequences.…
cs.DC2025
Memory Offloading for Large Language Model Inference with Latency SLO Guarantees
Chenxiang Ma, Zhisheng Ye, Hanyu Zhao +9
Offloading large language models (LLMs) state to host memory during inference promises to reduce operational costs by supporting larger models, longer inputs, and larger batch size…