activity
20202026
most citedReason Against the Machine: Future Directions for Mass Online Deliberation

30 citations · 51 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

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…

cs.AI2025

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…

cs.AI2024★ 7 cited

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…

cs.AI2021★ 30 cited

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…

cs.AI2020★ 1 cited

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…