565 citations · 641 across the 5 of their papers we have counts for
6 papers
Role-Play with Large Language Models
Murray Shanahan, Kyle McDonell, Laria Reynolds
As dialogue agents become increasingly human-like in their performance, it is imperative that we develop effective ways to describe their behaviour in high-level terms without fall…
Researching Alignment Research: Unsupervised Analysis
Jan H. Kirchner, Logan Smith, Jacques Thibodeau +2
AI alignment research is the field of study dedicated to ensuring that artificial intelligence (AI) benefits humans. As machine intelligence gets more advanced, this research is be…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black, Stella Biderman, Eric Hallahan +14
We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive language model trained on the Pile, whose weights will be made freely and openly available to the public through a…
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
Prevailing methods for mapping large generative language models to supervised tasks may fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show…
Multiversal views on language models
Laria Reynolds, Kyle McDonell
The virtuosity of language models like GPT-3 opens a new world of possibility for human-AI collaboration in writing. In this paper, we present a framework in which generative langu…