# Multi-Domain Applicability

A language model specifically designed to transform AI-generated text into a more human-like writing style, optimized for evading AI text detection systems

Gemma-APS is a generative model for Abstract Proposition Segmentation (APS), capable of breaking down text paragraphs into independent facts, statements, and opinions.

MiniCheck-Flan-T5-Large is a fact-checking model based on the Flan-T5-Large architecture, used to predict whether a document supports a given claim.

A table summarization model based on the BART architecture, optimized for query-focused table summarization tasks.

This is a German-to-Spanish neural machine translation model developed by the Language Technology Research Group at the University of Helsinki, as part of the OPUS-MT project.

This is a neural machine translation model based on the Transformer architecture, specifically designed for English-to-Turkish translation tasks.