39 citations · 40 across the 5 of their papers we have counts for
6 papers
From Retrieval to Weights: Parametric Individualization of Small Language Models with Individual Text Corpora
Christoph Wigbels, Ali Abusaleh, Markus T. Jansen +2
We approach a cognitive simulation perspective on episodic and semantic memory in multiple-choice question answering by incorporating text from individual text corpora (ITC) into r…
Individual Text Corpora Predict User-Specific Knowledge: Benchmarks of Individualized Knowledge Simulation
Christoph Wigbels, Ali Abusaleh, Markus T. Jansen +3
This study examines whether individual text corpora (ICs) from search histories can be used to simulate individual knowledge. We collected ICs from 316 adults, who answered 36 mult…
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education
Markus J. Hofmann, Markus T. Jansen, Christoph Wigbels +2
Here we examine whether the personality dimension of openness to experience can be predicted from the individual google search history. By web scraping, individual text corpora (IC…
Language Models Explain Word Reading Times Better Than Empirical Predictability
Markus J. Hofmann, Steffen Remus, Chris Biemann +2
Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is…
Individual corpora predict fast memory retrieval during reading
Markus J. Hofmann, Lara Müller, Andre Rölke +2
The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two month…
Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning
Markus J. Hofmann, Mareike A. Kleemann, Andre Roelke +2
The present study uses a computational approach to examine the role of semantic constraints in normal reading. This methodology avoids confounds inherent in conventional measures o…