30 citations · 51 across the 15 of their papers we have counts for
15 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…
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…
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…
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…
Facilitating Opinion Diversity through Hybrid NLP Approaches
Michiel van der Meer
Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation…
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…
An Empirical Analysis of Diversity in Argument Summarization
Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1
Presenting high-level arguments is a crucial task for fostering participation in online societal discussions. Current argument summarization approaches miss an important facet of t…
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang +7
Due to the empirical success of reinforcement learning, an increasing number of students study the subject. However, from our practical teaching experience, we see students enterin…
Do Differences in Values Influence Disagreements in Online Discussions?
Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1
Disagreements are common in online discussions. Disagreement may foster collaboration and improve the quality of a discussion under some conditions. Although there exist methods fo…
Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation
Lea Krause, Selene Báez Santamaría, Michiel van der Meer +1
This paper discusses our approaches for task-oriented conversational modelling using subjective knowledge, with a particular emphasis on response generation. Our methodology was sh…
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction
Michiel van der Meer, Myrthe Reuver, Urja Khurana +2
This paper describes our contributions to the Shared Task of the 9th Workshop on Argument Mining (2022). Our approach uses Large Language Models for the task of Argument Quality Pr…
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +18
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new t…
Reason Against the Machine: Future Directions for Mass Online Deliberation
Ruth Shortall, Anatol Itten, Michiel van der Meer +2
Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing ope…
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
Michiel van der Meer, Matteo Pirotta, Elia Bruni
In this work, we present an alternative approach to making an agent compositional through the use of a diagnostic classifier. Because of the need for explainable agents in automate…