Mitigating harm in language models with conditional-likelihood
filtration

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Mitigating harm in language models with conditional-likelihood filtration

4 August 2021

Cooper D. Raterink

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Papers citing "Mitigating harm in language models with conditional-likelihood filtration"

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Title
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets Irene Solaiman Christy Dennison 108 226 0 18 Jun 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 313 387 0 28 Feb 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 35 16 0 22 Jan 2021
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith 168 1,221 0 24 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 889 42,463 0 28 May 2020
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 488 20,342 0 23 Oct 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 114 875 0 20 Aug 2019
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 343 2,900 0 26 Sep 2016
The LAMBADA dataset: Word prediction requiring a broad discourse context Denis Paperno Germán Kruszewski Angeliki Lazaridou Q. N. Pham Raffaella Bernardi Sandro Pezzelle Marco Baroni Gemma Boleda Raquel Fernández 142 727 0 20 Jun 2016
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling Ciprian Chelba Tomas Mikolov M. Schuster Qi Ge T. Brants P. Koehn T. Robinson 190 1,109 0 11 Dec 2013