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Article summary:
1. The paper proposes a dynamic persona fusion mechanism to improve persona understanding for persona-based dialogue generation.
2. The proposed model encodes personas and conversation history independently, which is beneficial to the persona information fusion.
3. Experiments on the ConvAI2 dataset show that the proposed model outperforms baseline models in generating more coherent and persona consistent responses.
Article analysis:
The article is generally reliable and trustworthy, as it provides evidence from experiments on the ConvAI2 dataset to support its claims. The authors also provide references to other relevant works in the field, which adds credibility to their research. Furthermore, the article does not appear to be biased or one-sided, as it presents both sides of the argument fairly and objectively. However, there are some points of consideration that are missing from the article such as potential risks associated with using this technology and possible counterarguments that could be explored further. Additionally, there is no discussion of how this technology could be used in a responsible manner or what safeguards should be put in place when using it. Finally, there is no mention of any promotional content or partiality in the article, which suggests that it is unbiased and impartial.