no code implementations • 6 Apr 2024 • Andre Ye, Jared Moore, Rose Novick, Amy X. Zhang
Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work.
1 code implementation • 7 Feb 2024 • Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
We identify and formalize three possible ways to define and operationalize pluralism in AI systems: 1) Overton pluralistic models that present a spectrum of reasonable responses; 2) Steerably pluralistic models that can steer to reflect certain perspectives; and 3) Distributionally pluralistic models that are well-calibrated to a given population in distribution.
1 code implementation • 10 Jan 2024 • Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela
We also provide minimally different metalinguistic non-self-reference examples to complement the main dataset by probing for whether models can handle metalinguistic language at all.
no code implementations • 4 Nov 2023 • Mark Pock, Andre Ye, Jared Moore
Work in AI ethics and fairness has made much progress in regulating LLMs to reflect certain values, such as fairness, truth, and diversity.
1 code implementation • 26 Oct 2023 • Jan-Philipp Fränken, Sam Kwok, Peixuan Ye, Kanishk Gandhi, Dilip Arumugam, Jared Moore, Alex Tamkin, Tobias Gerstenberg, Noah D. Goodman
We explore the idea of aligning an AI assistant by inverting a model of users' (unknown) preferences from observed interactions.
no code implementations • 19 Oct 2022 • Jared Moore
Some claim language models understand us.
1 code implementation • 12 Jun 2014 • Jared Moore, Anthony Clark, Philip McKinley
Web-based applications are highly accessible to users, providing rich, interactive content while eliminating the need to install software locally.