31 citations · 116 across the 43 of their papers we have counts for
8 papers · 1 filter
PhysQ: A Physics Informed Reinforcement Learning Framework for Building Control
Gargya Gokhale, Bert Claessens, Chris Develder
Large-scale integration of intermittent renewable energy sources calls for substantial demand side flexibility. Given that the built environment accounts for approximately 40% of t…
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals
Maarten De Raedt, Fréderic Godin, Chris Develder +1
For text classification tasks, finetuned language models perform remarkably well. Yet, they tend to rely on spurious patterns in training data, thus limiting their performance on o…
EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu +2
We introduce a high-quality dataset that contains 3,397 samples comprising (i) multiple choice questions, (ii) answers (including distractors), and (iii) their source documents, fr…
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx +3
Multiple choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, due to the increased digital literacy of…
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu +2
Skills play a central role in the job market and many human resources (HR) processes. In the wake of other digital experiences, today's online job market has candidates expecting t…
CookDial: A dataset for task-oriented dialogs grounded in procedural documents
Yiwei Jiang, Klim Zaporojets, Johannes Deleu +2
This work presents a new dialog dataset, CookDial, that facilitates research on task-oriented dialog systems with procedural knowledge understanding. The corpus contains 260 human-…
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems
Manu Lahariya, Farzaneh Karami, Chris Develder +1
In energy intensive industrial systems, an evaporative cooling process may introduce operational flexibility. Such flexibility refers to a systems ability to deviate from its sched…
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
Manu Lahariya, Craig Innes, Chris Develder +1
Soft actuators offer a safe, adaptable approach to tasks like gentle grasping and dexterous manipulation. Creating accurate models to control such systems however is challenging du…