Human Still Wins over LLM: An Empirical Study of Active Learning on
Domain-Specific Annotation Tasks

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

16 November 2023

Bingsheng Yao

Shao Zhang

Toby Jia-Jun Li

Papers citing "Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks"

6 / 6 papers shown

Title
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs Xiao Liu Jiawei Zhang 22 0 0 29 Mar 2024
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 30 13 0 16 Nov 2023
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 206 559 0 03 May 2023
ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification Taja Kuzman I. Mozetič Nikola Ljubesic 47 87 0 07 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 301 11,730 0 04 Mar 2022
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts Yuta Koreeda Christopher D. Manning AILaw 87 96 0 05 Oct 2021