HIGHLIGHTS
- What: By comparing the experimental results, the study aims to determine which direction is more effective for open-domain dialogue systems. For the first type of method mentioned above, this study focuses on an improved personalized language model based on the Transformer, called IMDPchat . To evaluate these two models` effectiveness, this study compared several representative baseline models, which can be categorized into four types.
- Who: Yang Gu from the College of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China have published the paper: Comparative study on personalized open-domain generative dialogue systems, in . . .
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