CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines

20 June 2024

Papers citing "CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines"

6 / 6 papers shown

Title
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models Qinggang Zhang Shengyuan Chen Yuanchen Bei Zheng Yuan Huachi Zhou Zijin Hong Junnan Dong Hao-Heng Chen Yi-Ju Chang Xiao Huang 3DV 66 7 0 21 Jan 2025
Opportunities and Challenges of Generative-AI in Finance Akshar Prabhu Desai Ganesh Satish Mallya Mohammad Luqman Tejasvi Ravi Nithya Kota Pranjul Yadav AIFin 37 2 0 21 Oct 2024
Better Call GPT, Comparing Large Language Models Against Lawyers Lauren Martin Nick Whitehouse Stephanie Yiu Lizzie Catterson Rivindu Perera AILaw ELM 144 15 0 24 Jan 2024
A Study of Generative Large Language Model for Medical Research and Healthcare C.A.I. Peng Xi Yang Aokun Chen Kaleb E. Smith Nima M. Pournejatian ... W. Hogan E. Shenkman Yi Guo Jiang Bian Yonghui Wu LM&MA ELM AI4MH 147 240 0 22 May 2023
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts Yuta Koreeda Christopher D. Manning AILaw 89 96 0 05 Oct 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 408 2,584 0 03 Sep 2019