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20182026
most citedAssessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

24 citations · 50 across the 29 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CL2023

Cultural Adaptation of Recipes

Yong Cao, Yova Kementchedjhieva, Ruixiang Cui +5

Building upon the considerable advances in Large Language Models (LLMs), we are now equipped to address more sophisticated tasks demanding a nuanced understanding of cross-cultural…

cs.CL2023

CreoleVal: Multilingual Multitask Benchmarks for Creoles

Heather Lent, Kushal Tatariya, Raj Dabre +18

Creoles represent an under-explored and marginalized group of languages, with few available resources for NLP research.While the genealogical ties between Creoles and a number of h…

cs.CL2023

What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?

Ruixiang Cui, Seolhwa Lee, Daniel Hershcovich +1

Humans can effortlessly understand the coordinate structure of sentences such as "Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, respectively". In the context of n…

cs.CL2023

What's the Meaning of Superhuman Performance in Today's NLU?

Simone Tedeschi, Johan Bos, Thierry Declerck +9

In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks su…

cs.CL2023★ 24 cited

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

Yong Cao, Li Zhou, Seolhwa Lee +3

The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various na…

cs.CL2023

A Two-Sided Discussion of Preregistration of NLP Research

Anders Søgaard, Daniel Hershcovich, Miryam de Lhoneux

Van Miltenburg et al. (2021) suggest NLP research should adopt preregistration to prevent fishing expeditions and to promote publication of negative results. At face value, this is…