Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions-Reference-Cited by-同舟云学术

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Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions

Published:2024-08-24 Issue: Volume:2799 Page:597-608
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Ding Yucheng¹^ORCID,Niu Chaoyue¹^ORCID,Wu Fan¹^ORCID,Tang Shaojie²^ORCID,Lyu Chengfei³^ORCID,Chen Guihai¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. University of Texas at Dallas, Richardson, Texas, USA

3. Alibaba Group, Hangzhou, China

Funder

SJTU-Huawei Explore X Gift Fund

China NSF grant

Tencent WeChat Research Fund

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671679

Reference55 articles.

1. 2023. Alpaca Dataset. https://github.com/tatsu-lab/stanford_alpaca/blob/main/alpaca_data.json.

2. 2023. Apple Language Model Research Report. https://www.theverge.com/2023/9/6/23861763/apple-ai-language-models-ajax-gpt-training-spending.

3. 2023. Chinese Alpaca Dataset. https://github.com/LC1332/Chinese-alpaca-lora.

4. 2023. Google Gemini. https://cloud.google.com/blog/products/ai-machinelearning/gemini-support-on-vertex-ai.

5. 2023. Huawei Noah. https://github.com/huawei-noah/Pretrained-Language-Model.

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