Fatemeh Ghoochani
Publikationen
Beiträge in Sammelwerken
- From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects
Fatemeh Ghoochani (Autor*in) , Jonas Scharfenberger (Autor*in) , Burkhardt Funk (Autor*in) , Raoul Doublan (Autor*in) , Mayur Jakharabhai Odedra (Autor*in) , Bennet Etsiwah (Autor*in) , 12.06.2025 , S. 398-403 , 6 S.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
- Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
Fatemeh Ghoochani (Autor*in) , Soumyadeep Roy (Autor*in) , Aparup Khatua (Autor*in) , Uwe Hadler (Autor*in) , Wolfgang Nejdl (Autor*in) , Niloy Ganguly (Autor*in) , 11.07.2024 , S. 1073-1082 , 10 S.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Lehrveranstaltungen
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This course introduces the fundamentals and modern methods of Information Extraction (IE). Students learn classical rule-based and statistical techniques as well as machine-learning and neural approaches, ending with LLM-based structured extraction. The course includes practical implementation of IE pipelines using Python and Pydantic for schema definition and validation.