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11 papers · 1 filter
Developers' Experience with Generative AI -- First Insights from an Empirical Mixed-Methods Field Study
Charlotte Brandebusemeyer, Tobias Schimmer, Bert Arnrich
With the rise of AI-powered coding assistants, firms and programmers are exploring how to optimize their interaction with them. Research has so far mainly focused on evaluating out…
Personalized Oncology: Feasibility of Evaluating Treatment Effects for Individual Patients
Lydia Jang, Stefan Konigorski
The effectiveness of personalized oncology treatments ultimately depends on whether outcomes can be causally attributed to the treatment. Advances in precision oncology have improv…
Parameterized Complexity of Vehicle Routing
Michelle Döring, Jan Fehse, Tobias Friedrich +6
The Vehicle Routing Problem (VRP) is a popular generalization of the Traveling Salesperson Problem. Instead of one salesperson traversing the entire weighted, undirected graph ,…
From customer survey feedback to software improvements: Leveraging the full potential of data
Erik Bertram, Nina Hollender, Sebastian Juhl +2
Converting customer survey feedback data into usable insights has always been a great challenge for large software enterprises. Despite the improvements on this field, a major obst…
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations
Yindong Wang, Martin Preiß, Margarita Bugueño +4
The mechanisms underlying scientific confabulation in Large Language Models (LLMs) remain poorly understood. We introduce ReFACT (Reddit False And Correct Texts), a benchmark of 1,…
MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes
Liu Liu, Alexandra Kudaeva, Marco Cipriano +4
Understanding group-level social interactions in public spaces is crucial for urban planning, informing the design of socially vibrant and inclusive environments. Detecting such in…