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cs.AI2026
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…
cs.CL2026
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…
cs.CL2026
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…