Towards Minimal Targeted Updates of Language Models with Targeted
Negative Training

Towards Minimal Targeted Updates of Language Models with Targeted Negative Training

19 June 2024

Lily H. Zhang

Rajesh Ranganath

Papers citing "Towards Minimal Targeted Updates of Language Models with Targeted Negative Training"

7 / 7 papers shown

Title
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations Lily H. Zhang Hamid Dadkhahi M. Finkelstein Firas Trabelsi Jiaming Luo Markus Freitag 24 0 0 21 Oct 2024
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 219 254 0 21 Oct 2021
Challenges in Detoxifying Language Models Johannes Welbl Amelia Glaese J. Uesato Sumanth Dathathri John F. J. Mellor Lisa Anne Hendricks Kirsty Anderson Pushmeet Kohli Ben Coppin Po-Sen Huang LM&MA 236 191 0 15 Sep 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 119 90 0 30 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 139 156 0 18 Feb 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016