Multiple-Choice Questions are Efficient and Robust LLM Evaluators

Multiple-Choice Questions are Efficient and Robust LLM Evaluators

20 May 2024

Ziyin Zhang

Rui Wang

Papers citing "Multiple-Choice Questions are Efficient and Robust LLM Evaluators"

4 / 4 papers shown

Title
The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units Badr AlKhamissi Greta Tuckute Antoine Bosselut Martin Schrimpf MILM 75 10 0 04 Nov 2024
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 273 4,186 0 09 Jun 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 311 2,364 0 09 Nov 2022
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 135 1,893 0 16 Aug 2021