Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation

24 June 2024

Papers citing "Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation"

7 / 7 papers shown

Title
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization Ondrej Skopek Rahul Aralikatte Sian Gooding Victor Carbune ELM 67 19 0 12 Oct 2023
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 312 4,253 0 09 Jun 2023
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers Daphne Ippolito Ann Yuan Andy Coenen Sehmon Burnam 62 97 0 09 Nov 2022
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities Mina Lee Percy Liang Qian Yang HAI 66 372 0 18 Jan 2022
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 116 3,723 0 03 Sep 2021
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 129 2,724 0 05 Jun 2020
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories N. Mostafazadeh Nathanael Chambers Xiaodong He Devi Parikh Dhruv Batra Lucy Vanderwende Pushmeet Kohli James F. Allen 125 710 0 06 Apr 2016