Search Results for author: Michael Suesserman

Found 2 papers, 0 papers with code

A Simple yet Efficient Ensemble Approach for AI-generated Text Detection

no code implementations6 Nov 2023 Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Experiments conducted on four benchmark datasets for generative text classification show performance improvements in the range of 0. 5 to 100\% compared to previous state-of-the-art approaches.

Language Modelling Large Language Model +5

Generative AI Text Classification using Ensemble LLM Approaches

no code implementations14 Sep 2023 Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

For the first task of distinguishing between AI and human generated text, our model ranked in fifth and thirteenth place (with macro $F1$ scores of 0. 733 and 0. 649) for English and Spanish texts, respectively.

Language Modelling text-classification +1

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