CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to
Guardrail Models for Virtual Assistants

CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants

27 April 2023

Elliot Schumacher

Papers citing "CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants"

8 / 8 papers shown

Title
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues Makesh Narsimhan Sreedhar Traian Rebedea Shaona Ghosh Jiaqi Zeng Christopher Parisien ALM 27 4 0 04 Apr 2024
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? A. Sun Eliott Zemour Arushi Saxena Udith Vaidyanathan Eric Lin Christian Lau Vaikkunth Mugunthan SILM 27 18 0 31 Jul 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 225 495 0 28 Sep 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 303 11,730 0 04 Mar 2022
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 242 191 0 15 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 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 275 1,561 0 18 Sep 2019