activity
20232026
most citedHILL: A Hallucination Identifier for Large Language Models

63 citations · 114 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

From Ad Hoc Pilots to Repeatable Patterns: Structuring Drone Collaboration in Emergency Services with DroneLets

Dzmitry Katsiuba, Samuel Brander, Mateusz Dolata +1

Drones hold promise for supporting emergency services, but their integration into workflows remains ad hoc and coordination-intensive. This paper addresses two research questions:…

cs.RO2026

Accountability in Autonomous Drone-Based Firefighting: Insights From a Field Trial

Dzmitry Katsiuba, Anna Katharina Boos, Robin Hany +2

There is a growing research field exploring how autonomous drones can enhance emergency response effectiveness. Integrating these (artificial) agents into existing emergency teams…

cs.HC2024

How persuadee's psychological states and traits shape digital persuasion: Lessons learnt from mobile burglary prevention encounters

Mateusz Dolata, Robert O. Briggs, Gerhard Schwabe

Persuasion can be a complex process. Persuaders may need to use a high degree of sensitivity to understand a persuadee's states, traits, and values. They must navigate the nuanced…

cs.CY2024★ 17 cited

Moving beyond privacy and airspace safety: Guidelines for just drones in policing

Mateusz Dolata, Gerhard Schwabe

The use of drones offers police forces potential gains in efficiency and safety. However, their use may also harm public perception of the police if drones are refused. Therefore,…

cs.HC2024★ 2 cited

A Survey of AI Reliance

Sven Eckhardt, Niklas Kühl, Mateusz Dolata +1

Although artificial intelligence (AI) systems are becoming increasingly indispensable, research into how humans rely on these systems (AI reliance) is lagging behind. To advance th…

cs.HC2024★ 5 cited

When Generative AI Meets Workplace Learning: Creating A Realistic & Motivating Learning Experience With A Generative PCA

Andreas Bucher, Birgit Schenk, Mateusz Dolata +1

Workplace learning is used to train employees systematically, e.g., via e-learning or in 1:1 training. However, this is often deemed ineffective and costly. Whereas pure e-learning…

cs.HC2024★ 10 cited

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Moyi Li, Dzmitry Katsiuba, Mateusz Dolata +1

Applications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are i…

cs.HC2024★ 63 cited

HILL: A Hallucination Identifier for Large Language Models

Florian Leiser, Sven Eckhardt, Valentin Leuthe +4

Large language models (LLMs) are prone to hallucinations, i.e., nonsensical, unfaithful, and undesirable text. Users tend to overrely on LLMs and corresponding hallucinations which…

cs.SE2024★ 15 cited

Development in times of hype: How freelancers explore Generative AI?

Mateusz Dolata, Norbert Lange, Gerhard Schwabe

The rise of generative AI has led many companies to hire freelancers to harness its potential. However, this technology presents unique challenges to developers who have not previo…

cs.CL2023★ 2 cited

PROMISE: A Framework for Developing Complex Conversational Interactions (Technical Report)

Wenyuan Wu, Jasmin Heierli, Max Meisterhans +6

The advent of increasingly powerful language models has raised expectations for language-based interactions. However, controlling these models is a challenge, emphasizing the need…