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2020

  1. Lundell Vinkler, M., & Yu, P. (2020). Conversational Chatbots with Memory-based Question and Answer Generation, Master's Thesis, Linköping University.

  2. Bjöörn, A. (2020). Employing a Transformer Language Model for Information Retrieval and Document Classification: Using OpenAI's generative pre-trained transformer, GPT-2, Master's Thesis, KTH.

2021

  1. Campos, P. (2021). Synthetic Data Generation Using Transformer Networks, Master's Thesis, KTH

  2. Zhang, T. (2021). Smart Compose for Live Chat Agent, Master's Thesis, KTH.

  3. Tao, J., & Thimrén, D. (2021). Smoothening of Software documentation: comparing a self-made sequence to sequence model to a pre-trained model GPT-2, Master's Thesis, Linköping University.

  4. Chen, Y. (2021). An automatic storytelling system based on natural language processing, Master's Thesis, Uppsala University.

2022

  1. Bonde, O. (2022). Generating Terraform Configuration Files with Large Language Models, Master's Thesis, KTH

  2. Liu, E. K. Y. (2022). Can Wizards be Polyglots: Towards a Multilingual Knowledge-grounded Dialogue System, Master's Thesis,Uppsala University.

  3. Galatolo, A. (2022). Towards Automatic Generation of Personality-Adapted Speech and Emotions for a Conversational Companion Robot, Master's Thesis, KTH

  4. Pettersson, I. (2022). Keeping tabs on GPT-SWE: Classifying toxic output from generative language models for Swedish text generation, Master's Thesis, KTH.

  5. Lundblad, H., & Faramarzi, P. (2022). An NLP approach to assess information security policies, Master's Thesis, Chalmers University of Technology.

  6. Hong, J. E. (2022). Regularized Fine-tuning Strategies for Neural Language Models: Application of entropy regularization on GPT-2, Master's Thesis, Uppsala University.

  7. Bissessar, D.(2022). Evaluation of methods for question answering data generation: Using large language models, Master's Thesis, Linköping University.

  8. Sventickaite, E. E. (2022). Distillation or loss of information?: The effects of distillation on model redundancy, Master's Thesis, Uppsala University.

  9. Langstraat, N. J. (2022). Towards a Language Model for Stenography: A Proof of Concept, Master's Thesis, Uppsala University.

  10. Roos, Q. (2022). Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation: Acomparison between Google’s T5 and OpenAI’s GPT-2, Master's Thesis, KTH.

2023

  1. Tesfagiorgis, Y. G. (2023). Large language models as an interface to interact with API tools in natural language, Master's Thesis, Linnaeus University

  2. Ivarsson, S. (2023). Automated Alignment of Software Requirements and Test Cases, Master's Thesis, Chalmers University of Technology

  3. Sakaoglu, S. (2023). KARTAL: Web Application Vulnerability Hunting Using Large Language Models: Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models, Master's Thesis, 2023, KTH

  4. Zhao, P. (2023). An Empirical Study on Using Codex for Automated Program Repair, Master's Thesis, 2023, KTH

  5. Praas, R. (2023). Self-Reflection on Chain-of-Thought Reasoning in Large Language Models, Master's Thesis, KTH

  6. Kniele, A. (2023). Characterizing, classifying and transforming language model distributions, Master's Thesis, Uppsala University.

  7. Helgesson Hallström, C. (2023). Language Models as Evaluators: A Novel Framework for Automatic Evaluation of News Article Summaries, Master's Thesis, KTH.

  8. Ekvall, H.(2023). Integrating ChatGPT into the UX Design Process: Ideation and Prototyping with LLMs, Master's Thesis, Umeå University.

  9. Becerra, T. (2023). Automatic Summarization of Validated Intelligence Events, Master's Thesis, Chalmers University of Technology.

  10. Pinti, D. (2023). Relevant Phrase Generation for Language Learners, Master's Thesis, Politecnico di Torino.

  11. Sandberg, A. (2023). Methods for Reducing Costs of Running Large-Scale Machine Learning Models, Master's Thesis, Chalmers University of Technology.

  12. García Castellanos, A. (2023). Topological regularization and relative latent representations, Master's Thesis, KTH.

  13. Döringer Kana, F. (2023). Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain: Comparing dense embeddings with BM25 for Open Domain Question Answering, Master's Thesis, KTH

  14. Cruz, E. (2023). An initial investigation of Automatic Program Repair for Solidity Smart Contracts with Large Language Models, Master's Thesis,

  15. Kulesz, O. (2023). The impact of Large Language Models on the publishing sectors: Books, academic journals, newspapers, Master's Thesis, Linnaeus University

  16. Kheirkhahzadeh, M. (2023). Speech Classification using Acoustic embedding and Large Language Models Applied on Alzheimer’s Disease Prediction Task, Master's Thesis, KTH.

  17. Vallecillos Ruiz, F. (2023). Round-Trip Translation: A New Path for Automatic Program Repair using Large Language Models, Master's Thesis, KTH

  18. Jie, H. (2023). Information Extraction for Test Identification in Repair Reports in the Automotive Domain, Master's Thesis, Uppsala University.

  19. Luo, H. (2023). Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data, Master's Thesis, Uppsala University.

  20. Mondal, A. (2023). A Prompting Framework for Natural Language Processing in the Medical Field: Assessing the Potential of Large Language Models for Swedish Healthcare, Master's Thesis, KTH.

  21. Boman, S. (2023). Improving customer support efficiency through decision support powered by machine learning, Master's Thesis, Linköping University.

  22. Örnfelt, J. (2023). Users’ Attitude Towards ChatGPT: A sentiment Analysis on Twitter & Reddit, Master's Thesis, Uppsala University.

  23. Zapata, L. (2023). Recommendation of Text Properties for Short Texts with the Use of Machine Learning: A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2, Master's Thesis, KTH.

  24. Bandaru, J. S., & Appili, S. K. (2023). Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems, Master's Thesis, Blekinge Institute of Technology.

  25. Lauri Aleksi Törnwall, M. (2023). Contextual short-term memory for LLM-based chatbot, Master's Thesis, KTH.

  26. Chen, Y. (2023). A Preliminary Observation: Can One Linguistic Feature Be the Deterministic Factor for More Accurate Fake News Detection?, Master's Thesis, Uppsala University.

  27. Lihammer, S. (2023). Semantic Similarity Comparison of Political Statements by ChatGPT and Political Representatives, Master's Thesis, KTH.

  28. Papadopulos, J., & Christiansen, J. (2023). Conversational AI Workforce Revolution: Exploring the Effects of Conversational AI on Work Roles and Organisations, Master's Thesis, Linnaeus University.

  29. Gottlander, J., & Khademi, T. (2023). The Effects of AI Assisted Programming in Software Engineering, Master's Thesis, Chalmers University of Technology.

  30. Larsson, N. (2023). Chatting Up the Grade: An Exploration on the Impact of ChatGPT on Self-Study Experience in Higher Education, Master's Thesis, Umeå University

  31. Haglund, J. H. (2023). Students Acceptance and Use of ChatGPT in Academic Settings, Master's Thesis, Uppsala Universitet.

  32. Wetterdal, M. (2023). The AI-Empowered Designer: Exploring the Potential of Generative AI in Digital Product Design, Master's Thesis, Uppsala University.

  33. Peña López, D. (2023). Triggering Ideas With Generative AI: Integrating generative AI within the early stages of the UX design process, Master's Thesis, Uppsala University.