2 citations · 12 across the 24 of their papers we have counts for
9 papers · 1 filter
Word-Class and Construction-Like Structure Emerges in Neural Successor Representations Trained on Natural Language
Mathis Immertreu, Achim Schilling, Thomas Kinfe +1
Neural language models are typically trained on next-token prediction, although linguistic structure spans multiple temporal scales. Successor representations (SRs) make this horiz…
Probing Internal Representations of Multi-Word Verbs in Large Language Models
Hassane Kissane, Achim Schilling, Patrick Krauss
This study investigates the internal representations of verb-particle combinations, called multi-word verbs, within transformer-based large language models (LLMs), specifically exa…
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
Patrick Krauss, Achim Schilling
Deep learning methods have been increasingly applied to computational linguistics to uncover patterns in text data. This study investigates author-specific word class distributions…
Refusal Behavior in Large Language Models: A Nonlinear Perspective
Fabian Hildebrandt, Andreas Maier, Patrick Krauss +1
Refusal behavior in large language models (LLMs) enables them to decline responding to harmful, unethical, or inappropriate prompts, ensuring alignment with ethical standards. This…
Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT
Awritrojit Banerjee, Achim Schilling, Patrick Krauss
This study investigates the internal mechanisms of BERT, a transformer-based large language model, with a focus on its ability to cluster narrative content and authorial style acro…
Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT
Hassane Kissane, Achim Schilling, Patrick Krauss
This study investigates the internal representations of verb-particle combinations within transformer-based large language models (LLMs), specifically examining how these models ca…
Analysis of Argument Structure Constructions in the Large Language Model BERT
Pegah Ramezani, Achim Schilling, Patrick Krauss
This study investigates how BERT processes and represents Argument Structure Constructions (ASCs), extending previous LSTM analyses. Using a dataset of 2000 sentences across four A…
Analysis of Argument Structure Constructions in a Deep Recurrent Language Model
Pegah Ramezani, Achim Schilling, Patrick Krauss
Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. In this study, we explore the…
Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT
Patrick Krauss, Jannik Hösch, Claus Metzner +3
The ability to transmit and receive complex information via language is unique to humans and is the basis of traditions, culture and versatile social interactions. Through the disr…