8 papers
When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models
Afshin Khadangi, Hanna Marxen, Amir Sartipi +2
Frontier language models increasingly participate in conversations about distress and mental health, yet the mechanisms that generate anthropomorphic self narratives remain unclear…
A Lay User Explainable Food Recommendation System Based on Hybrid Feature Importance Extraction and Large Language Models
Melissa Tessa, Diderot D. Cidjeu, Rachele Carli +4
Large Language Models (LLM) have experienced strong development in recent years, with varied applications. This paper uses LLMs to develop a post-hoc process that provides more ela…
Towards Effective E-Participation of Citizens in the European Union: The Development of AskThePublic
Nils Messerschmidt, Kilian Sprenkamp, Amir Sartipi +4
E-participation platforms are an important asset for governments in increasing trust and fostering democratic societies. By engaging public and private institutions and individuals…
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting
Timothée Hornek Amir Sartipi, Igor Tchappi, Gilbert Fridgen
Accurate electricity price forecasting (EPF) is crucial for effective decision-making in power trading on the spot market. While recent advances in generative artificial intelligen…
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
Afshin Khadangi, Amir Sartipi, Igor Tchappi +2
The tension between data privacy and model utility has become the defining bottleneck for the practical deployment of large language models (LLMs) trained on sensitive corpora incl…
KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification
Qianbo Zang, Christophe Zgrzendek, Igor Tchappi +2
Hierarchical Text Classification (HTC) involves assigning documents to labels organized within a taxonomy. Most previous research on HTC has focused on supervised methods. However,…