Theses

We are offering bachelor and master thesis about various topics in natural language processing, espcially using deep learning models. Besides the suggested topics it is always possible to develop own ideas for the thesis. Just talk to us directly, by email, after the lecture or by phone.

Topics Bachelor/Master Theses
Title Subject Supervisor Person in Charge
Open Application Various
Evaluating LLM Performance on University Exams Given Course Materials Large Language Models

Tu Anh Dinh
Efficiently Upgrading Large Language Models to Support New Languages Large Language Models

Danni Liu
Document-Level Speech Translation Machine Translation

Sai Koneru
Efficient Vocabulary Adaptation for Expanding LLM Language Coverage Large Language Models

Danni Liu

 Sascha Nebel
Domain Adaptation in Automatic Speech Recognition Speech Recognition

Zhaolin Li

 Hanyang Zhu
Noise-robust Automatic Speech Recognition Speech Recognition

Zhaolin Li

 Niklas Baier
Neural Segmentation for Translation Evaluation Evaluation

Tu Anh Dinh

 Daniel Appenzeller
Quality Estimation for Whitebox Speech Translation Speech Translation

Tu Anh Dinh

 Isabel Kraft
Quality Estimation for Blackbox Speech Translation Speech Translation

Tu Anh Dinh

 Iva Andreeva
Analyzing Hidden Representations in Multimodal Language Models Large Language Models

Danni Liu

 Hyunji Lee
Visual Question Answering Question Answering

Supriti Sinhamahapatra

 Qihong Chen
Machine Translation for Indonesian with In-Context Learning Machine Translation

Zhaolin Li

 Rayyan De Muhammad
Playing Dialogue-Based Games with Large Language Models

Supriti Sinhamahapatra

 Tobias Polly

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