activity
20222026
most citedA Fused Large Language Model for Predicting Startup Success

39 citations · 76 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Causal methods for LLM development and evaluation

Dennis Frauen, Marie Brockschmidt, Konstantin Hess +10

Large language model (LLM) development is currently driven by large-scale empirical iteration over data mixtures, reward models, routing strategies, and evaluation pipelines. Here,…

cs.LG2026

Predicting Startup Success Using Large Language Models: A Novel In-Context Learning Approach

Abdurahman Maarouf, Alket Bakiaj, Stefan Feuerriegel

Venture capital (VC) investments in early-stage startups that end up being successful can yield high returns. However, predicting early-stage startup success remains challenging du…

cs.LG2025

Beyond Means: A Dynamic Framework for Predicting Customer Satisfaction

Christof Naumzik, Abdurahman Maarouf, Stefan Feuerriegel +1

Online ratings influence customer decision-making, yet standard aggregation methods, such as the sample mean, fail to adapt to quality changes over time and ignore review heterogen…

cs.SI2024★ 3 cited

Generative AI may backfire for counterspeech

Dominik Bär, Abdurahman Maarouf, Stefan Feuerriegel

Online hate speech poses a serious threat to individual well-being and societal cohesion. A promising solution to curb online hate speech is counterspeech. Counterspeech is aimed a…

cs.LG2024★ 39 cited

A Fused Large Language Model for Predicting Startup Success

Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs

Investors are continuously seeking profitable investment opportunities in startups and, hence, for effective decision-making, need to predict a startup's probability of success. No…

cs.SI2023★ 2 cited

Analyzing User Characteristics of Hate Speech Spreaders on Social Media

Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel

Hate speech on social media threatens the mental and physical well-being of individuals and contributes to real-world violence. Resharing is an important driver behind the spread o…

cs.CL2023★ 4 cited

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Abdurahman Maarouf, Dominik Bär, Dominique Geissler +1

Online propaganda poses a severe threat to the integrity of societies. However, existing datasets for detecting online propaganda have a key limitation: they were annotated using w…

cs.SI2022★ 28 cited

The Virality of Hate Speech on Social Media

Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel

Online hate speech is responsible for violent attacks such as, e.g., the Pittsburgh synagogue shooting in 2018, thereby posing a significant threat to vulnerable groups and society…