Kevin Feng: Researcher — Prolific Citations Library

Explore 2 peer-reviewed studies by Kevin Feng in AI Alignment and Public Will (2024). Discover research powered by Prolific's participant panel.

This page lists 2 peer-reviewed papers authored or co-authored by Kevin Feng in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment

Authors: Andrew Konya, Aviv Ovadya, Kevin Feng, Quan Ze Chen, Lisa Schirch, Colin Irwin

Year: 2024

Published in: ArXiv

Institution: AI & Democracy Foundation, Remesh, University of Washington

Research Area: AI Alignment, Public Will, Expert Intelligence, Rule-based Reward

Discipline: Artificial Intelligence, Computational Social Science
Spica: Retrieving Scenarios for Pluralistic In-Context Alignment

Authors: Quan Ze Chen K.J. Kevin Feng Chan Young Park Amy X. Zhang

Year: 2024

Published in: ArXiv

Institution: University of Washington

Research Area: In-Context Learning, Computational Linguistics, Natural Language Processing

Discipline: Computer Science, Computational Linguistics, Natural Language Processing