Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost

27 June 2023

Papers citing "Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost"

8 / 8 papers shown

Title
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation Juhwan Choi Jungmin Yun Kyohoon Jin Youngbin Kim 27 3 0 15 Apr 2024
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models Xingcheng Xu Zihao Pan Haipeng Zhang Yanqing Yang LRM 6 2 0 16 Aug 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback M. Abouheaf W. Gueaieb Md. Suruz Miah D. Spinello Xipeng Qiu 49 37 0 03 May 2023
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta R. Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 29 23 0 10 Jul 2022
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
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 161 37 0 23 Oct 2020
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks Nandan Thakur Nils Reimers Johannes Daxenberger Iryna Gurevych 190 237 0 16 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018