Do Large Language Models Need a Content Delivery Network?

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

Earlier work this paper cites.

Ssd: Single shot multibox detector

Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016

Earlier work this paper cites.

Generative adversarial networks

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020

Earlier work this paper cites.

Retrieval-augmented generation for knowledge-intensive nlp tasks

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020

Earlier work this paper cites.

Efficientdet: Scalable and efficient object detection

Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020

Earlier work this paper cites.

Meta-learning via language model in-context tuning

Original

Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, and He He · 2021

Earlier work this paper cites.

A survey on in-context learning

Original

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui · 2022

Earlier work this paper cites.

Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning

Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, and Colin A Raffel · 2022

Earlier work this paper cites.

High-resolution image synthesis with latent diffusion models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022

Earlier work this paper cites.

Prompt cache: Modular attention reuse for low-latency inference, 2023

In Gim, Guojun Chen, Seung seob Lee, Nikhil Sarda, Anurag Khandelwal, and Lin Zhong · 2023

Earlier work this paper cites.

Llmlingua: Compressing prompts for accelerated inference of large language models

Original

Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu · 2023

Earlier work this paper cites.

Active retrieval augmented generation

Original

Zhengbao Jiang, Frank F Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig · 2023

Earlier work this paper cites.

Efficient memory management for large language model serving with pagedattention

Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica · 2023

Earlier work this paper cites.

Cachegen: Fast context loading for language model applications

Original

Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, et al · 2023

Earlier work this paper cites.

Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation

Original

Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, and Yanai Elazar · 2023

Earlier work this paper cites.

Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

Original

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, et al · 2023

Earlier work this paper cites.

Tell your model where to attend: Post-hoc attention steering for llms

Original

Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, and Tuo Zhao · 2023

Cited alongside, same era.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Original

Renrui Zhang, Jiaming Han, Chris Liu, Peng Gao, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, and Yu Qiao · 2023

Cited alongside, same era.

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Re, Clark Barrett, Zhangyang Wang, and Beidi Chen · 2023

Cited alongside, same era.

Efficiently programming large language models using sglang

Original

Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E Gonzalez, et al · 2023

Cited alongside, same era.

Ec2 on-demand instance pricing – amazon web services, 2024

Amazon Web Services · 2024

Closest in time.

Model tells itself where to attend: Faithfulness meets automatic attention steering

Anonymous · 2024

Closest in time.

Benchmarking large language models in retrieval-augmented generation

Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun · 2024

Closest in time.

Chatbot arena: An open platform for evaluating llms by human preference

Original

Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael Jordan, Joseph E Gonzalez, et al · 2024

Closest in time.

The llama 3 herd of models

Original

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024

Closest in time.