Daniel Stuhlinger


2024

pdf
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection
Daniel Stuhlinger | Aron Winkler
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)

Recent developments in the field of NLP have brought large language models (LLMs) to the forefront of both public and research attention. As the use of language generation technologies becomes more widespread, the problem arises of determining whether a given text is machine generated or not. Task 8 at SemEval 2024 consists of a shared task with this exact objective. Our approach aims at developing models and strategies that strike a good balance between performance and model size. We show that it is possible to compete with large transformer-based solutions with smaller systems.
Search
Co-authors
Venues