most citedArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

Is Peer-Reviewing Worth the Effort?

Kenneth Church, Raman Chandrasekar, John E. Ortega +1

How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based…

cs.CL20241 cited

No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages

Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad +4

Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjecti…

cs.IR20241 cited

Academic Article Recommendation Using Multiple Perspectives

Kenneth Church, Omar Alonso, Peter Vickers +3

We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement one another in Academic Search recommendations. The scientific literature can be viewed as a con…

cs.CL20241 cited

Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT

Ibrahim Said Ahmad, Shiran Dudy, Resmi Ramachandranpillai +1

Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotio…

cs.CL20241 cited

Since the Scientific Literature Is Multilingual, Our Models Should Be Too

Abteen Ebrahimi, Kenneth Church

English has long been assumed the of scientific research, and this notion is reflected in the natural language processing (NLP) research involving scientif…