In Context Learning: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in In Context Learning (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of In Context Learning in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

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