◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Angus R. Williams

7 papers hereh-index 231 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CY2

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPrompto: An open source library for asynchronous querying of LLM endpoints

3 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.CYShow all

2 papers · 1 filter

cs.CY2024

Journalists are most likely to receive abuse: Analysing online abuse of UK public figures across sport, politics, and journalism on Twitter

Liam Burke-Moore, Angus R. Williams, Jonathan Bright

Engaging with online social media platforms is an important part of life as a public figure in modern society, enabling connection with broad audiences and providing a platform for…

cs.CY2024★ 1 cited

Large language models can consistently generate high-quality content for election disinformation operations

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan +7

Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investiga…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.