3 citations · 3 across the 4 of their papers we have counts for
6 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…
The "Small World of Words" German Free-Association Norms
Samuel Aeschbach, Rui Mata, Kaidi Lõo +2
Free-association norms provide essential empirical data for investigating linguistic, semantic, and cultural phenomena in the cognitive sciences. Although large-scale norms exist f…
Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models
Taisiia Tikhomirova, Dirk U. Wulff
Understanding where transformer language models encode psychologically meaningful aspects of meaning is essential for both theory and practice. We conduct a systematic layer-wise p…
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…
Probing the contents of semantic representations from text, behavior, and brain data using the psychNorms metabase
Zak Hussain, Rui Mata, Ben R. Newell +1
Semantic representations are integral to natural language processing, psycholinguistics, and artificial intelligence. Although often derived from internet text, recent years have s…
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…