7 papers
Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat +1
LLMs can personalize education, although current static-prompt tutoring systems struggle to adapt to diverse academic disciplines. We develop and test a system with subject-aware p…
Traces of Social Competence in Large Language Models
Tom Kouwenhoven, Michiel van der Meer, Max van Duijn
The False Belief Test (FBT) has been the main method for assessing Theory of Mind (ToM) and related socio-cognitive competencies. For Large Language Models (LLMs), the reliability…
Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
Urja Khurana, Michiel van der Meer, Enrico Liscio +2
Subjective judgments are part of several NLP datasets and recent work is increasingly prioritizing models whose outputs reflect this diversity of perspectives. Such responses allow…
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…
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah +1
Active Learning (AL) addresses the high costs of collecting human annotations by strategically annotating the most informative samples. However, for subjective NLP tasks, incorpora…
A Hybrid Intelligence Method for Argument Mining
Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker +3
Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding th…