Fetching the paper…
Reading the bibliography…
Augmented Large Language Models (LLMs) enhance the capabilities of standalone LLMs by integrating external data sources through API calls.
Modern information retrieval . Vol. 463
Ricardo Baeza-Yates, Berthier Ribeiro-Neto, et al · 1999
Earlier work this paper cites.
AgentGraph: Toward universal dialogue management with structured deep reinforcement learning
Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gašić, and Kai Yu. 2019 · 2019
Earlier work this paper cites.
Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew Hausknecht. 2020 · 2020
Earlier work this paper cites.
Queues with Small Advice. In Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms (ACDA 21) . 1–12
Michael Mitzenmacher. 2021 · 2021
Earlier work this paper cites.
Introducing ChatGPT
OpenAI. 2022 · 2022
Earlier work this paper cites.
Orca: A distributed serving system for { \{ Transformer-Based } \} generative models. In 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22) . 521–538
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, and Byung-Gon Chun. 2022 · 2022
Earlier work this paper cites.
Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al · 2022
Earlier work this paper cites.
Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
Earlier work this paper cites.
$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput. In Thirty-seventh Conference on Neural Information Processing Systems
Yunho Jin, Chun-Feng Wu, David Brooks, and Gu-Yeon Wei. 2023 · 2023
Earlier work this paper cites.
Efficient memory management for large language model serving with pagedattention. In Proceedings of the 29th Symposium on Operating Systems Principles . 611–626
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
Earlier work this paper cites.
Augmented language models: a survey
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ram Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, et al · 2023
Cited alongside, same era.
ChatGPT plugins
OpenAI. March 2023 · 2023
Cited alongside, same era.
Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez. 2023 · 2023
Cited alongside, same era.
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
Cited alongside, same era.
Chatgpt gets its ‘wolfram superpowers
Wolfram. [n.d.] · 2023
Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings
Shibo Hao, Tianyang Liu, Zhen Wang, and Zhiting Hu. 2024 · 2024
Closest in time.
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. In The Twelfth International Conference on Learning Representations
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Saiful Haq, Ashutosh Sharma, Thomas T Joshi, Hanna Moazam, Heather Miller, et al · 2024
Closest in time.
Splitwise: Efficient generative llm inference using phase splitting. In 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) . IEEE, 118–132
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, and Ricardo Bianchini. 2024 · 2024
Closest in time.
Power-aware Deep Learning Model Serving with { \{ μ \mu -Serve } \} . In 2024 USENIX Annual Technical Conference (USENIX ATC 24) . 75–93
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Başar, and Ravishankar K Iyer. 2024a · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Fast distributed inference serving for large language models
Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, and Xin Jin. 2023 · 2023
Cited alongside, same era.
Efficiently programming large language models using sglang
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.
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference. In Forty-first International Conference on Machine Learning
Reyna Abhyankar, Zijian He, Vikranth Srivatsa, Hao Zhang, and Yiying Zhang. 2024 · 2024
Cited alongside, same era.
Taming throughput-latency tradeoff in llm inference with sarathi-serve
Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S Gulavani, Alexey Tumanov, and Ramachandran Ramjee. 2024 · 2024
Cited alongside, same era.
Enabling Efficient Batch Serving for LMaaS via Generation Length Prediction
Ke Cheng, Wen Hu, Zhi Wang, Peng Du, Jianguo Li, and Sheng Zhang. 2024 · 2024
Cited alongside, same era.
LangChain
H. LangChain Chase. [n.d.]
Cited in the paper.
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer. 2024b · 2024
Closest in time.
Don’t Stop Me Now: Embedding Based Scheduling for LLMs
Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, and Michael Mitzenmacher. 2024 · 2024
Closest in time.
Dynamollm: Designing llm inference clusters for performance and energy efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, and Esha Choukse. 2024 · 2024
Closest in time.
A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al · 2024
Closest in time.
The Shift from Models to Compound AI Systems
Matei Zaharia, Omar Khattab, Lingjiao Chen, Jared Quincy Davis, Heather Miller, Chris Potts, James Zou, Michael Carbin, Jonathan Frankle, Naveen Rao, and Ali Ghodsi. 2024 · 2024
Closest in time.
Response length perception and sequence scheduling: An llm-empowered llm inference pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, and Yang You. 2024 · 2024
Closest in time.