no code implementations • 22 May 2024 • Hope McGovern, Rickard Stureborg, Yoshi Suhara, Dimitris Alikaniotis
It has been shown that finetuned transformers and other supervised detectors effectively distinguish between human and machine-generated text in some situations arXiv:2305. 13242, but we find that even simple classifiers on top of n-gram and part-of-speech features can achieve very robust performance on both in- and out-of-domain data.
no code implementations • 2 May 2024 • Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara
The zero-shot capability of Large Language Models (LLMs) has enabled highly flexible, reference-free metrics for various tasks, making LLM evaluators common tools in NLP.
1 code implementation • 26 Feb 2024 • Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance.
1 code implementation • 7 Feb 2024 • Yoshi Suhara, Dimitris Alikaniotis
Neural abstractive summarization models make summaries in an end-to-end manner, and little is known about how the source information is actually converted into summaries.