8 citations · 13 across the 3 of their papers we have counts for
5 papers
Cheap, open agents make LLM pollution harder to mitigate
Raluca Rilla, Anne-Marie Nussberger, Rui Mata +1
Large Language Model (LLM) pollution occurs when synthetic responses contaminate data intended to capture human behavior. High deployment costs have so far limited the risk posed b…
Addressing Longstanding Challenges in Cognitive Science with Language Models
Dirk U. Wulff, Rui Mata
Cognitive science faces ongoing challenges in research integration, formalization, conceptual clarity, and other areas, in part due to its multifaceted and interdisciplinary nature…
Measuring individual semantic networks: A simulation study
Samuel Aeschbach, Rui Mata, Dirk U. Wulff
Accurately capturing individual differences in semantic networks is fundamental to advancing our mechanistic understanding of semantic memory. Past empirical attempts to construct…
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
Dirk U. Wulff, Dominik S. Meier, Rui Mata
A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic co…
text2sdg: An R package to Monitor Sustainable Development Goals from Text
Dominik S. Meier, Rui Mata, Dirk U. Wulff
Monitoring progress on the United Nations Sustainable Development Goals (SDGs) is important for both academic and non-academic organizations. Existing approaches to monitoring SDGs…