no code implementations • 6 Apr 2024 • Yuhong Mo, Hao Qin, Yushan Dong, Ziyi Zhu, Zhenglin Li
The test set confusion matrix and accuracy show that the model has 99% prediction accuracy for AI-generated text, with a precision of 0. 99, a recall of 1, and an f1 score of 0. 99, achieving a very high classification accuracy.
no code implementations • 10 Mar 2023 • Robert Irvine, Douglas Boubert, Vyas Raina, Adian Liusie, Ziyi Zhu, Vineet Mudupalli, Aliaksei Korshuk, Zongyi Liu, Fritz Cremer, Valentin Assassi, Christie-Carol Beauchamp, Xiaoding Lu, Thomas Rialan, William Beauchamp
The proposed approach uses automatic pseudo-labels collected from user interactions to train a reward model that can be used to reject low-scoring sample responses generated by the chatbot model at inference time.