12 citations · 17 across the 8 of their papers we have counts for
8 papers · 1 filter
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations
Yong Cao, Haijiang Liu, Arnav Arora +3
Large-scale surveys are essential tools for informing social science research and policy, but running surveys is costly and time-intensive. If we could accurately simulate group-le…
Large Language Models Penetration in Scholarly Writing and Peer Review
Li Zhou, Ruijie Zhang, Xunlian Dai +2
While the widespread use of Large Language Models (LLMs) brings convenience, it also raises concerns about the credibility of academic research and scholarly processes. To better u…
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui, Daniel Hershcovich, Anders Søgaard
Logical approaches to representing language have developed and evaluated computational models of quantifier words since the 19th century, but today's NLU models still struggle to c…
Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich, Stella Frank, Heather Lent +11
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages. However, it is…
Great Service! Fine-grained Parsing of Implicit Arguments
Ruixiang Cui, Daniel Hershcovich
Broad-coverage meaning representations in NLP mostly focus on explicitly expressed content. More importantly, the scarcity of datasets annotating diverse implicit roles limits empi…
Meaning Representation of Numeric Fused-Heads in UCCA
Ruixiang Cui, Daniel Hershcovich
We exhibit that the implicit UCCA parser does not address numeric fused-heads (NFHs) consistently, which could result either from inconsistent annotation, insufficient training dat…