most citedObserving Fine-Grained Changes in Jupyter Notebooks During Development Time

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5 papers

cs.SE20261 cited

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…

cs.AI2025

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…

cs.AI2025

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…

cs.CY2025

LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI

Valeria Vuk, Cristina Sarasua, Fabrizio Gilardi

A wide range of participation is essential for democracy, as it helps prevent the dominance of extreme views, erosion of legitimacy, and political polarization. However, engagement…

cs.LG2025

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…