Investigating Multi-source Active Learning for Natural Language
Inference

Investigating Multi-source Active Learning for Natural Language Inference

14 February 2023

Douwe Kiela

Katerina Margatina

Papers citing "Investigating Multi-source Active Learning for Natural Language Inference"

13 / 13 papers shown

Title
On the Pros and Cons of Active Learning for Moral Preference Elicitation Vijay Keswani Vincent Conitzer Hoda Heidari Jana Schaich Borg Walter Sinnott-Armstrong 24 2 0 26 Jul 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models Linhai Zhang Jialong Wu Deyu Zhou Guoqiang Xu 25 4 0 02 Mar 2024
Perturbation-Based Two-Stage Multi-Domain Active Learning Rui He Zeyu Dai Shan He Ke Tang 6 2 0 19 Jun 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 20 39 0 23 May 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 29 11 0 21 May 2023
Multi-Domain Learning From Insufficient Annotations Tahira Shehzadi Shengcai Liu D. Stricker Marcus Liwicki Muhammad Zeshan Afzal 8 1 0 04 May 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 103 91 0 06 Oct 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning Hannah Rose Kirk Bertie Vidgen Scott A. Hale 18 10 0 21 Sep 2022
Active Learning for Argument Strength Estimation Nataliia Kees Michael Fromm Evgeniy Faerman T. Seidl 19 5 0 23 Sep 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 104 180 0 19 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 235 319 0 21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015