2 citations · 7 across the 10 of their papers we have counts for
10 papers
Large Language Models Align with the Human Brain during Creative Thinking
Mete Ismayilzada, Simone A. Luchini, Abdulkadir Gokce +5
Creative thinking is a fundamental aspect of human cognition, and divergent thinking-the capacity to generate novel and varied ideas-is widely regarded as its core generative engin…
CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge
Mete Ismayilzada, Renqing Cuomao, Daniil Yurshevich +3
Creative problem-solving requires combining multiple cognitive abilities, including logical reasoning, lateral thinking, analogy-making, and commonsense knowledge, to discover insi…
Binary Token-Level Classification with DeBERTa for All-Type MWE Identification: A Lightweight Approach with Linguistic Enhancement
Diego Rossini, Lonneke van der Plas
We present a comprehensive approach for multiword expression (MWE) identification that combines binary token-level classification, linguistic feature integration, and data augmenta…
Creative Preference Optimization
Mete Ismayilzada, Antonio Laverghetta, Simone A. Luchini +4
While Large Language Models (LLMs) have demonstrated impressive performance across natural language generation tasks, their ability to generate truly creative content-characterized…
HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
Michiel van der Meer, Pavel Korshunov, Sébastien Marcel +1
Misinformation can be countered with fact-checking, but the process is costly and slow. Identifying checkworthy claims is the first step, where automation can help scale fact-check…
Evaluating Creative Short Story Generation in Humans and Large Language Models
Mete Ismayilzada, Claire Stevenson, Lonneke van der Plas
Story-writing is a fundamental aspect of human imagination, relying heavily on creativity to produce narratives that are novel, effective, and surprising. While large language mode…
Creativity in AI: Progresses and Challenges
Mete Ismayilzada, Debjit Paul, Antoine Bosselut +1
Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely studied as a crucial aspect of human cognition. Machine creativity on the other hand h…
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada, Defne Circi, Jonne Sälevä +6
Large language models (LLMs) have demonstrated significant progress in various natural language generation and understanding tasks. However, their linguistic generalization capabil…
Understanding the effects of language-specific class imbalance in multilingual fine-tuning
Vincent Jung, Lonneke van der Plas
We study the effect of one type of imbalance often present in real-life multilingual classification datasets: an uneven distribution of labels across languages. We show evidence th…
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
Molly R. Petersen, Lonneke van der Plas
While analogies are a common way to evaluate word embeddings in NLP, it is also of interest to investigate whether or not analogical reasoning is a task in itself that can be learn…