Hi all,
The last Research Showcase for 2024 will be live-streamed next
Wednesday, December 11, at 9:00 AM PT / 17:00 UTC. Find your local time here
<https://zonestamp.toolforge.org/1733936400>. The theme for this showcase is
*AI for Wikipedia*.
You are welcome to watch via the YouTube stream:
https://youtube.com/live/_hk6KLD-0tg?feature=share. As usual, you can join
the conversation in the YouTube chat as soon as the showcase goes live.
This month's presentations:
Language Models for Wikimedia: A Report from the Trenches and a Call to Arms
By *Bob West, EPFL*
I will showcase LLM-based solutions my lab has built for tackling problems
on Wikipedia (e.g., fact extraction, generation of article descriptions and
edit summaries), highlighting practical challenges linked to applying such
solutions in vivo. I will conclude by sketching a vision for building a
Wikimedia Foundation Foundation Model with the potential to assist humans
in keeping Wikipedia great.
A Public AI Assistant for World Wide KnowledgeBy *Monica Lam, Stanford
University*We are introducing an initiative to develop a public AI
assistant to enhance access to worldwide knowledge. Our scalable, LLM-based
framework adapts to any knowledge corpus, effectively handling both
structured and unstructured data. Our pilot version supports users in
drafting Wikipedia-style articles by researching the web, engages in
fact-grounded conversations using information from Wikipedia in 25
languages, and writes SPARQL queries for Wikidata. Our assistant has been
applied across diverse fields: aiding scientists with the Semantic Scholar
corpus of academic papers, supporting historians in examining 18th-century
newspapers, and assisting journalists in analyzing Federal Election
Commission (FEC) campaign donation records. We are seeking collaboration to
further expand its applications.
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation <https://wikimediafoundation.org/>