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Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots
Research article (Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI, 2018) · cited 36× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. Retrieved May 24, 2026, from https://4ort.xyz/entity/why-are-sequence-to-sequence-models-so-dull-understanding-the-low-diversity-problem-of-chatbots
MLA“Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/why-are-sequence-to-sequence-models-so-dull-understanding-the-low-diversity-problem-of-chatbots.
BibTeX@misc{4ortxyz_why-are-sequence-to-sequence-models-so-dull-understanding-the-low-diversity-problem-of-chatbots_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots}}, year = {2026}, url = {https://4ort.xyz/entity/why-are-sequence-to-sequence-models-so-dull-understanding-the-low-diversity-problem-of-chatbots}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots — https://4ort.xyz/entity/why-are-sequence-to-sequence-models-so-dull-understanding-the-low-diversity-problem-of-chatbots (retrieved 2026-05-24)