{"task":"Binary text classification","dataset":"TweepFake","metric_names":["F1 score","Accuracy (%)"],"rows":[{"id":146529,"task":"Binary text classification","parent_task":null,"dataset":"TweepFake","model_name":"GigaCheck (Mistral-7B)","metrics":{"Accuracy (%)":"94.3","F1 score":"0.942"},"paper_url":"https://arxiv.org/abs/2410.23728v2","paper_title":"GigaCheck: Detecting LLM-generated Content","paper_date":"2024-10-31","code_links":[],"metrics_order":"[\"F1 score\", \"Accuracy (%)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":146530,"task":"Binary text classification","parent_task":null,"dataset":"TweepFake","model_name":"XLNet","metrics":{"Accuracy (%)":"87.7","F1 score":"0.882"},"paper_url":"https://arxiv.org/abs/2008.00036v2","paper_title":"TweepFake: about Detecting Deepfake Tweets","paper_date":"2020-07-31","code_links":[{"title":"tizfa/tweepfake_deepfake_text_detection","url":"https://github.com/tizfa/tweepfake_deepfake_text_detection"}],"metrics_order":"[\"F1 score\", \"Accuracy (%)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}