The Empty Signifier Problem: Towards Clearer Paradigms for
Operationalising "Alignment" in Large Language Models

The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models

3 October 2023

Hannah Rose Kirk

Paul Röttger

Papers citing "The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models"

7 / 7 papers shown

Title
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits Ruibo Liu Chenyan Jia Ge Zhang Ziyu Zhuang Tony X. Liu Soroush Vosoughi 39 34 0 01 Jan 2023
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 220 495 0 28 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 213 327 0 23 Aug 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 213 204 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
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
AI safety via debate G. Irving Paul Christiano Dario Amodei 196 199 0 02 May 2018