WebMay 19, 2024 · Generating long and coherent text is an important but challenging task, particularly for open-ended language generation tasks such as story generation. Despite … Web2024) were proposed for long text generation. For instance, the conditional variational autoencoder (Yang et al. 2024) with a hybrid decoder could learn topics to generate Chi …
Practical text generation using GPT-2, LSTM and Markov Chain
WebThis work investigates how factors such as skill levels and collaborations impact how humans identify deepfake texts, and analyzes the detection performance and the factors that affected performance to inform the design of future tools/framework to improve collaborative human detection ofDeepfake texts. In recent years, Natural Language … WebTowards Generating Long and Coherent Text with Multi-Level Latent Variable Models Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin ACL 2024 } Extract and Edit: An Alternative to Back ... have got 和 has got
Yizhe Zhang
WebApr 2, 2024 · From Quentin Skinner, Rae Langton, Raymond Tallis and AC Grayling to Martin Loughlin and Peter Ramsay, philosophers and political and law theorists are proposing the … WebThis is a video from the Data Science fwdays'20 online conference, that was held on August 8, 2024.Talk description:Longform text generation, which involves ... WebGenerating coherent and cohesive long-form texts is a challenging task. Previous works relied on large amounts of human-generated texts to train neural language models. … boris nulman