4 papers · 1 filter
Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the UniBuc - NLP team in tackling the SemEval 2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detec…
Transformer based neural networks for emotion recognition in conversations
Claudiu Creanga, Liviu P. Dinu
This paper outlines the approach of the ISDS-NLP team in the SemEval 2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). For Subtask 1 we obtained a we…
Automated Text Identification Using CNN and Training Dynamics
Claudiu Creanga, Liviu Petrisor Dinu
We used Data Maps to model and characterize the AuTexTification dataset. This provides insights about the behaviour of individual samples during training across epochs (training dy…
Designing NLP Systems That Adapt to Diverse Worldviews
Claudiu Creanga, Liviu P. Dinu
Natural Language Inference (NLI) is foundational for evaluating language understanding in AI. However, progress has plateaued, with models failing on ambiguous examples and exhibit…