FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models

16 November 2023

Papers citing "FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models"

5 / 5 papers shown

Title
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models Seungone Kim Juyoung Suk Ji Yong Cho Shayne Longpre Chaeeun Kim ... Sean Welleck Graham Neubig Moontae Lee Kyungjae Lee Minjoon Seo ELM ALM LM&MA 97 31 0 09 Jun 2024
Can Large Language Models Understand Real-World Complex Instructions? Qi He Jie Zeng Wenhao Huang Lina Chen Jin Xiao ... Shisong Chen Yikai Zhang Zhouhong Gu Jiaqing Liang Yanghua Xiao ALM LRM ELM 95 52 0 17 Sep 2023
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time Shangqing Tu Chunyang Li Jifan Yu Xiaozhi Wang Lei Hou Juanzi Li LLMAG AI4MH 75 10 0 27 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 298 3,007 0 22 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022