Making Pre-trained Language Models both Task-solvers and Self-calibrators

21 July 2023

Heng Ji

Papers citing "Making Pre-trained Language Models both Task-solvers and Self-calibrators"

22 / 22 papers shown

Title
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 95 80 0 07 Jun 2023
A Close Look into the Calibration of Pre-trained Language Models Yangyi Chen Lifan Yuan Ganqu Cui Zhiyuan Liu Heng Ji 121 51 0 31 Oct 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 108 817 0 11 Jul 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings Neeraj Varshney Swaroop Mishra Chitta Baral 78 56 0 01 Mar 2022
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 206 280 0 05 Oct 2021
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech Mai Elsherief Caleb Ziems D. Muchlinski Vaishnavi Anupindi Jordyn Seybolt M. D. Choudhury Diyi Yang 153 249 0 11 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 204 3,971 0 28 Jul 2021
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers Christopher Schröder A. Niekler Martin Potthast 55 81 0 12 Jul 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 142 851 0 14 Jun 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade Lei Li Yankai Lin Deli Chen Shuhuai Ren Peng Li Jie Zhou Xu Sun 72 52 0 29 Dec 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 188 434 0 13 Apr 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 121 1,005 0 31 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 419 20,127 0 23 Oct 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 256 2,312 0 02 May 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 107 1,953 0 31 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 208 738 0 13 Dec 2018
Hate Speech Dataset from a White Supremacy Forum Ona de Gibert Naiara Pérez Aitor García-Pablos Montse Cuadros 66 420 0 12 Sep 2018
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 1.1K 7,154 0 20 Apr 2018
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 526 0 23 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 520 4,476 0 18 Apr 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,452 0 07 Oct 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,358 0 02 Dec 2015