1 citations · 1 across the 8 of their papers we have counts for
11 papers
Using Hierarchical Controlled Vocabularies to Understand CLIP Retrieval Failures in Historical Photo Collections
Ratan Sebastian, Anett Hoppe, Christoph Rippe +1
GLAM institutions (Galleries, Libraries, Archives, and Museums) organise image access using controlled vocabularies such as the Art and Architecture Thesaurus (AAT). For content-ba…
Are LLM-based Chatbots Good Enough to Support Computer Science Students in Multiple-Choice Exercises?
Markos Stamatakis, Omkar Gavali, Joshua Berger +3
Chatbots based on large language models (LLMs) are increasingly adopted for information retrieval, text generation, and writing assistance. In educational settings, their use is al…
Automatic Mind Wandering Detection in Educational Settings: A Systematic Review and Multimodal Benchmarking
Anna Bodonhelyi, Augustin Curinier, Babette Bühler +7
Detecting mind wandering is crucial in online education, and it occurs 30% of the time, as it directly impacts learners' retention, comprehension, and overall success in self-direc…
Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
Misinformation and fake news have become a pressing societal challenge, driving the need for reliable automated detection methods. Prior research has highlighted sentiment as an im…
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos
Markos Stamatakis, Joshua Berger, Christian Wartena +2
Web-based educational videos offer flexible learning opportunities and are becoming increasingly popular. However, improving user engagement and knowledge retention remains a chall…
From Formulas to Figures: How Visual Elements Impact User Interactions in Educational Videos
Wolfgang Gritz, Hewi Salih, Anett Hoppe +1
Educational videos have become increasingly relevant in today's learning environments. While prior research in laboratory studies has provided valuable insights, analyzing real-wor…
Verifying Cross-modal Entity Consistency in News using Vision-language Models
Sahar Tahmasebi, David Ernst, Eric Müller-Budack +1
The web has become a crucial source of information, but it is also used to spread disinformation, often conveyed through multiple modalities like images and text. The identificatio…
Patent Figure Classification using Large Vision-language Models
Sushil Awale, Eric Müller-Budack, Ralph Ewerth
Patent figure classification facilitates faceted search in patent retrieval systems, enabling efficient prior art search. Existing approaches have explored patent figure classifica…
Unraveling the Impact of Visual Complexity on Search as Learning
Wolfgang Gritz, Anett Hoppe, Ralph Ewerth
Information search has become essential for learning and knowledge acquisition, offering broad access to information and learning resources. The visual complexity of web pages is k…
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
Evelyn Navarrete, Ralph Ewerth, Anett Hoppe
Identifying the regions of a learning resource that a learner pays attention to is crucial for assessing the material's impact and improving its design and related support systems.…
Multimodal Misinformation Detection using Large Vision-Language Models
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for misinformation detection and fact checkin…