5 citations · 9 across the 5 of their papers we have counts for
5 papers
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
Rosni Vasu, Peter Jansen, Pao Siangliulue +4
While there has been a surge of interest in automated scientific discovery (ASD), especially with the emergence of LLMs, it remains challenging for tools to generate hypotheses tha…
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
Sergey Titov, Konstantin Grotov, Cristina Sarasua +5
In software engineering research, the analysis of fine-grained logs led to significant innovations in areas such as refactoring, security, and code completion. However, even though…
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra +3
Large Language models have demonstrated promising performance in research ideation across scientific domains. Hypothesis development, the process of generating a highly specific de…
Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
Fynn Bachmann, Daan van der Weijden, Lucien Heitz +2
Adaptive questionnaires dynamically select the next question for a survey participant based on their previous answers. Due to digitalisation, they have become a viable alternative…
Fast and Adaptive Questionnaires for Voting Advice Applications
Fynn Bachmann, Cristina Sarasua, Abraham Bernstein
The effectiveness of Voting Advice Applications (VAA) is often compromised by the length of their questionnaires. To address user fatigue and incomplete responses, some application…