4 citations · 5 across the 8 of their papers we have counts for
5 papers · 1 filter
Late Transformer Layers Recode Syntax Canonically: Evidence from Greek Scrambling and Cross-Layer Generalisation
Christos Nikolaos Zacharopoulos, Revekka Kyriakoglou, Chara Tsoukala +1
Probing studies have established that syntactic information is decodable in early and middle transformer layers, but what happens to that information in later layers remains poorly…
Multilingual corpora for the study of new concepts in the social sciences and humanities:
Revekka Kyriakoglou, Anna Pappa
This article presents a hybrid methodology for building a multilingual corpus designed to support the study of emerging concepts in the humanities and social sciences (HSS), illust…
In Machina N400: Pinpointing Where a Causal Language Model Detects Semantic Violations
Christos-Nikolaos Zacharopoulos, Revekka Kyriakoglou
How and where does a transformer notice that a sentence has gone semantically off the rails? To explore this question, we evaluated the causal language model (phi-2) using a carefu…
Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering
Christos-Nikolaos Zacharopoulos, Revekka Kyriakoglou
As Large Language Models (LLMs) become integral to human-centered applications, understanding their personality-like behaviors is increasingly important for responsible development…
Développement automatique de lexiques pour les concepts émergents : une exploration méthodologique
Revekka Kyriakoglou, Anna Pappa, Jilin He +5
This paper presents the development of a lexicon centered on emerging concepts, focusing on non-technological innovation. It introduces a four-step methodology that combines human…