EcoAssistant: Using LLM Assistant More Affordably and Accurately

3 October 2023

Papers citing "EcoAssistant: Using LLM Assistant More Affordably and Accurately"

4 / 4 papers shown

Title
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems Shaokun Zhang Ming Yin Jieyu Zhang J. H. Liu Zhiguang Han ... Beibin Li Chi Wang H. Wang Y. Chen Qingyun Wu 47 0 0 30 Apr 2025
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 189 614 0 20 May 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 183 1,098 0 09 Feb 2021