190 citations · 266 across the 5 of their papers we have counts for
6 papers
Small Language Models for Curriculum-based Guidance
Konstantinos Katharakis, Sippo Rossi, Raghava Rao Mukkamala
The adoption of generative AI and large language models (LLMs) in education is still emerging. In this study, we explore the development and evaluation of AI teaching assistants th…
An Early Categorization of Prompt Injection Attacks on Large Language Models
Sippo Rossi, Alisia Marianne Michel, Raghava Rao Mukkamala +1
Large language models and AI chatbots have been at the forefront of democratizing artificial intelligence. However, the releases of ChatGPT and other similar tools have been follow…
Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?
Sippo Rossi, Youngjin Kwon, Odd Harald Auglend +3
In recent years, deep learning methods have become increasingly capable of generating near photorealistic pictures and humanlike text up to the point that humans can no longer reco…
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala +3
Embedded software is growing fast in size and complexity, leading to intimate mixture of complex architectures and complex control. Consequently, software specification requires mo…
Facebook drives behavior of passive households in stock markets
Milla Siikanen, Kęstutis Baltakys, Juho Kanniainen +3
Recent studies using data on social media and stock markets have mainly focused on predicting stock returns. Instead of predicting stock price movements, we examine the relation be…
Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs
Thomas T. Hildebrandt, Raghava Rao Mukkamala
We present Dynamic Condition Response Graphs (DCR Graphs) as a declarative, event-based process model inspired by the workflow language employed by our industrial partner and conse…