EcoAssistant: Using LLM Assistant More Affordably and Accurately

3 October 2023

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

7 / 7 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 Jing Liu Zhiguang Han ... Beibin Li Chi Wang H. Wang Yuxiao Chen Qingyun Wu 49 1 0 30 Apr 2025
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Zhijun Chen Jingzheng Li Pengpeng Chen Zhuoran Li Kai Sun Yuankai Luo Qianren Mao Dingqi Yang Hailong Sun Philip S. Yu ELM 55 5 0 25 Feb 2025
Adaptive In-conversation Team Building for Language Model Agents Linxin Song Jiale Liu Jieyu Zhang Shaokun Zhang Ao Luo Shijian Wang Qingyun Wu Chi Wang LLMAG 71 10 0 29 May 2024
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking Zijun Liu Boqun Kou Peng Li Ming Yan Ji Zhang Fei Huang Yang Liu 32 2 0 19 Feb 2024
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 398 8,559 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 208 627 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 204 1,109 0 09 Feb 2021