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20242026
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cs.AI2025

Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption through Empirical and Theoretical Analysis

Lars Krupp, Daniel Geißler, Vishal Banwari +2

Web agents, like OpenAI's Operator and Google's Project Mariner, are powerful agentic systems pushing the boundaries of Large Language Models (LLM). They can autonomously interact…

cs.AI2025

TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition

Lala Shakti Swarup Ray, Lars Krupp, Vitor Fortes Rey +3

Sensor-based human activity recognition (HAR) has predominantly focused on Inertial Measurement Units and vision data, often overlooking the capabilities unique to pressure sensors…

cs.AI2025

Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web

Lars Krupp, Daniel Geißler, Peter Hevesi +3

Integrated into websites, LLM-powered chatbots offer alternative means of navigation and information retrieval, leading to a shift in how users access information on the web. Yet,…

cs.AI2025

Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy Consumption

Lars Krupp, Daniel Geißler, Paul Lukowicz +1

Improvements in the area of large language models have shifted towards the construction of models capable of using external tools and interpreting their outputs. These so-called we…

cs.AI2024

GenAI Assisting Medical Training

Stefan Fritsch, Matthias Tschoepe, Vitor Fortes Rey +4

Medical procedures such as venipuncture and cannulation are essential for nurses and require precise skills. Learning this skill, in turn, is a challenge for educators due to the n…