Investigating Societal Biases in a Poetry Composition System

5 November 2020

Papers citing "Investigating Societal Biases in a Poetry Composition System"

20 / 20 papers shown

Title
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 3 0 24 Jun 2024
Rectifying Demonstration Shortcut in In-Context Learning Joonwon Jang Sanghwan Jang Wonbin Kweon Minjin Jeon Hwanjo Yu 40 1 0 14 Mar 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 5 0 08 Feb 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models Weixiang Zhao Shilong Wang Yulin Hu Yanyan Zhao Bing Qin Xuanyu Zhang Qing Yang Dongliang Xu Wanxiang Che KELM CLL 34 12 0 16 Jan 2024
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark Lukasz Augustyniak Szymon Wo'zniak Marcin Gruza Piotr Gramacki Krzysztof Rajda M. Morzy Tomasz Kajdanowicz 33 5 0 13 Jun 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 32 39 0 23 May 2023
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models Seraphina Goldfarb-Tarrant Eddie L. Ungless Esma Balkir Su Lin Blodgett 43 9 0 22 May 2023
Prompting with Pseudo-Code Instructions Mayank Mishra Prince Kumar Riyaz Ahmad Bhat V. Rudramurthy Danish Contractor Srikanth G. Tamilselvam 45 13 0 19 May 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Chenyu You VLM LRM 23 15 0 16 Feb 2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models Almog Gueta Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen 34 50 0 09 Feb 2023
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning Shachar Don-Yehiya Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen MoMe 28 52 0 02 Dec 2022
Dynamic Latent Separation for Deep Learning Yi-Lin Tuan Zih-Yun Chiu William Yang Wang 36 0 0 07 Oct 2022
Few-shot Adaptation Works with UnpredicTable Data Jun Shern Chan Michael Pieler Jonathan Jao Jérémy Scheurer Ethan Perez 36 5 0 01 Aug 2022
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts Qinyuan Ye Juan Zha Xiang Ren MoE 18 12 0 25 May 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations Kang Min Yoo Junyeob Kim Hyuhng Joon Kim Hyunsoo Cho Hwiyeol Jo Sang-Woo Lee Sang-goo Lee Taeuk Kim 31 123 0 25 May 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 76 1,409 0 25 Feb 2022
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 72 470 0 29 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 223 180 0 18 Apr 2021
Augmenting Poetry Composition with Verse by Verse David C. Uthus M. Voitovich R. Mical 74 10 0 31 Mar 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 223 620 0 03 Sep 2019