Ongoing

Maximilian Bleick (with Aljoscha Burchardt) – BA thesis @ TU Berlin: An Investigation of LLM Chatbots Concerning the Echo Chamber Effect

Yi-Sheng Hsu (with Sherzod Hakimov) – MSc project @ Uni Potsdam: Engineering LLM-generated Explanations with Metric-based Readability Control

Completed

Qianli Wang (with Leonhard Hennig) – MSC thesis @ TU Berlin: A Singular LLM Is All You Need for Dialogue-based Explanation Regarding NLP Tasks

Konstantin Biskupski (with Eleftherios Avramidis) – MSc thesis @ TU Berlin: Quality estimation of machine-translated texts with fine-grained classification of errors

Kiran Rohra (with Philippe Thomas) – MSc thesis @ TU Berlin: Comparative error analysis of biomedical image labelling and captioning models

Ajay Madhavan Ravichandran (with Philippe Thomas) – MSc thesis @ TU Berlin: Evaluating text quality of generated radiology reports

Mika Rebensburg (with Tim Polzehl & Stefan Hillmann) - BSc thesis @ TU Berlin : Automatic Evaluation of Chatbot Dialogs Using Pre-Trained Language Models in the Customer Support Domain

Daniel Fernau (with Tim Polzehl & Stefan Hillmann) – MSc thesis @ TU Berlin: Towards Adaptive Conversational Agents: Fine-tuning Language-Models for User Classification to enhance Usability

Research assistant supervisions

Ongoing

Yi-Sheng Hsu – Rationalization with Metric-based Readability Control

Maximilian Dustin Nasert & Christopher Ebert – Data-based Interpretability and Evaluation of Self-Rationalizing LLMs

Completed

Qianli Wang – Interactive NLP model exploration through dialogue systems

João Lucas Mendes de Lemos Lins – Instructional explanations

Sahil Chopra – Rationale generation for dialogue-based explanations

Ajay Madhavan Ravichandran – Conceptualizing dialogue-based explanations

Courses

2022-10 - 2023-03 : Explainability in Natural Language Processing @ TU Berlin. Topics: (1) Contrastive Explanations of Text Generation Models. (2) Explainable Fact Checking.

2021-10 - 2022-03 : MSc/BSc software project @ TU Berlin: Assessing the Quality of Machine-translated Text (with Eleftherios Avramidis & Vivien Macketanz)

Open topics

Conversational Model Refinement

References: Yao et al. (2021); Gu et al. (2023); Malaviya et al. (2023); He et al. (2023)

Analyzing User Behavior in Fact Checking Systems

References: Si et al. (2023); Mohseni et al. (2021); Linder et al. (2021)

LLM-based Evaluation of Instructional Explanations

References: Wachsmuth & Alshomary (2022); Kupor et al. (2023); Lee et al. (2023); Rooein et al. (2023)

Efficiency for Explanation Evaluation

References: Parcalabescu & Frank (2023); Larionov et al. (2023); Schwarzenberg et al. (2021)

Explaining Disagreements in Automated Text Evaluation Metrics

References: Jiang et al. (2023); Ribeiro et al. (2023); Wadhwa et al. (2023); He et al. (2023)

Learning from Human Feedback to Natural Language Explanations

References: Li et al. (2022); Wang et al. (2023); Ye et al. (2022)