11 citations · 14 across the 6 of their papers we have counts for
6 papers
Learned Parametric Emotion Editing: Real-Time Affective Filtering for On-Device Social Media Video
Musa Rochi, Marcel Schubert, Christoph Gebhardt
Problematic internet use affects a growing share of the population, yet common interventions, e.g., time limits, blocking, forced breaks, are coercive and easily circumvented. We e…
Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration
Akhiad Bercovich, Nir Ailon, Vladimir Anisimov +21
Reasoning-focused LLMs improve answer quality by generating longer reasoning traces, but the additional tokens dramatically increase serving cost, motivating inference optimization…
Preference-Guided Multi-Objective UI Adaptation
Yao Song, Christoph Gebhardt, Yi-Chi Liao +1
3D Mixed Reality interfaces have nearly unlimited space for layout placement, making automatic UI adaptation crucial for enhancing the user experience. Such adaptation is often for…
Continual Human-in-the-Loop Optimization
Yi-Chi Liao, Paul Streli, Zhipeng Li +2
Optimal input settings vary across users due to differences in motor abilities and personal preferences, which are typically addressed by manual tuning or calibration. Although hum…
Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Media
Christoph Gebhardt, Robin Willardt, Seyedmorteza Sadat +5
Internet overuse is a widespread phenomenon in today's digital society. Existing interventions, such as time limits or grayscaling, often rely on restrictive controls that provoke…
SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning
Zhipeng Li, Christoph Gebhardt, Yves Inglin +3
Mixed Reality is increasingly used in mobile settings beyond controlled home and office spaces. This mobility introduces the need for user interface layouts that adapt to varying c…