The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail

15 October 2021

Papers citing "The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail"

28 / 28 papers shown

Title
A General Language Assistant as a Laboratory for Alignment Amanda Askell Yuntao Bai Anna Chen Dawn Drain Deep Ganguli ... Tom B. Brown Jack Clark Sam McCandlish C. Olah Jared Kaplan ALM 114 775 0 01 Dec 2021
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 68 305 0 26 Nov 2021
Recursively Summarizing Books with Human Feedback Jeff Wu Long Ouyang Daniel M. Ziegler Nissan Stiennon Ryan J. Lowe Jan Leike Paul Christiano ALM 139 302 0 22 Sep 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 76 90 0 14 Jul 2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact Zhijing Jin Geeticka Chauhan Brian Tse Mrinmaya Sachan Rada Mihalcea 59 26 0 04 Jun 2021
A Non-Linear Structural Probe Jennifer C. White Tiago Pimentel Naomi Saphra Ryan Cotterell 29 25 0 21 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma Kawin Ethayarajh Tristan Thrush Somya Jain Ledell Yu Wu Robin Jia Christopher Potts Adina Williams Douwe Kiela ELM 72 57 0 21 May 2021
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand? William Merrill Yoav Goldberg Roy Schwartz Noah A. Smith 65 68 0 22 Apr 2021
Low-Complexity Probing via Finding Subnetworks Steven Cao Victor Sanh Alexander M. Rush 40 53 0 08 Apr 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 184 405 0 07 Apr 2021
Preregistering NLP Research Emiel van Miltenburg Chris van der Lee E. Krahmer AI4CE 52 23 0 11 Mar 2021
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 214 47 0 24 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li D. Song Jacob Steinhardt 137 548 0 05 Aug 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 132 2,724 0 05 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 86 52 0 30 May 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 194 1,100 0 08 May 2020
The State and Fate of Linguistic Diversity and Inclusion in the NLP World Pratik M. Joshi Sebastin Santy A. Budhiraja Kalika Bali Monojit Choudhury LMTD 107 842 0 20 Apr 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 92 222 0 10 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 532 4,773 0 23 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 36 101 0 08 Jan 2020
oLMpics -- On what Language Model Pre-training Captures Alon Talmor Yanai Elazar Yoav Goldberg Jonathan Berant LRM 96 303 0 31 Dec 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 115 1,003 0 31 Oct 2019
Risks from Learned Optimization in Advanced Machine Learning Systems Evan Hubinger Chris van Merwijk Vladimir Mikulik Joar Skalse Scott Garrabrant 76 150 0 05 Jun 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 240 2,307 0 02 May 2019
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation Antonio Toral Sheila Castilho Ke Hu Andy Way 48 190 0 30 Aug 2018
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation Samuel Läubli Rico Sennrich M. Volk 37 258 0 21 Aug 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 190 11,542 0 15 Feb 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 239 8,113 0 16 Jun 2016