169 citations · 227 across the 13 of their papers we have counts for
4 papers · 1 filter
Improving Diversity in LLM Short Story Generation
Zahra Solati Dehkordi, Vasileios Lampos
Large language models (LLMs) can generate accurate responses, but these are void of diversity. We attempt to address this for the task of creative short story generation. Drawing o…
Machine-generated text detection prevents language model collapse
George Drayson, Emine Yilmaz, Vasileios Lampos
As Large Language Models (LLMs) become increasingly prevalent, their generated outputs are proliferating across the web, risking a future where machine-generated content dilutes hu…
Unsupervised hard Negative Augmentation for contrastive learning
Yuxuan Shu, Vasileios Lampos
We present Unsupervised hard Negative Augmentation (UNA), a method that generates synthetic negative instances based on the term frequency-inverse document frequency (TF-IDF) retri…
E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text
Ting Wai Terence Au, Ingemar J. Cox, Vasileios Lampos
Identifying named entities such as a person, location or organization, in documents can highlight key information to readers. Training Named Entity Recognition (NER) models require…