activity
20242026
collaborators

7 papers

cs.RO2026

StretchBot: A Neuro-Symbolic Framework for Adaptive Guidance with Assistive Robots

Luca Vogelgesang, Ahmed Mehdi Soltani, Mohammadhossein Khojasteh +4

Assistive robots have growing potential to support physical wellbeing in home and healthcare settings, for example, by guiding users through stretching or rehabilitation routines.…

cs.CL2026

Enhancing Structural Mapping with LLM-derived Abstractions for Analogical Reasoning in Narratives

Mohammadhossein Khojasteh, Yifan Jiang, Stefano De Giorgis +2

Analogical reasoning is a key driver of human generalization in problem-solving and argumentation. Yet, analogies between narrative structures remain challenging for machines. Cogn…

cs.AI2025

The Carbon Footprint Wizard: A Knowledge-Augmented AI Interface for Streamlining Food Carbon Footprint Analysis

Mustafa Kaan Aslan, Reinout Heijungs, Filip Ilievski

Environmental sustainability, particularly in relation to climate change, is a key concern for consumers, producers, and policymakers. The carbon footprint, based on greenhouse gas…

cs.CL2025

Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity

Tygo Bloem, Filip Ilievski

Meme clustering is critical for toxicity detection, virality modeling, and typing, but it has received little attention in previous research. Clustering similar Internet memes is c…

cs.CL2025

Investigating the Robustness of Deductive Reasoning with Large Language Models

Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo

Large Language Models (LLMs) have been shown to achieve impressive results for many reasoning-based NLP tasks, suggesting a degree of deductive reasoning capability. However, it re…

cs.CV2025

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning

Huabin Liu, Filip Ilievski, Cees G. M. Snoek

This paper proposes the first video-grounded entailment tree reasoning method for commonsense video question answering (VQA). Despite the remarkable progress of large visual-langua…