mlsanityData to 14 Oct 2026

BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets

arXiv 2210.12687 ↗First posted 23 Oct 2022cs.CL cs.AIcited by 13

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Abstract (arXiv)

To build open-domain chatbots that are able to use diverse communicative skills, we propose a novel framework BotsTalk, where multiple agents grounded to the specific target skills participate in a conversation to automatically annotate multi-skill dialogues. We further present Blended Skill BotsTalk (BSBT), a large-scale multi-skill dialogue dataset comprising 300K conversations. Through extensive experiments, we demonstrate that our dataset can be effective for multi-skill dialogue systems which require an understanding of skill blending as well as skill grounding. Our code and data are available at https://github.com/convei-lab/BotsTalk.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 31 of its 54 references that are in the map. First posted on arXiv 23 Oct 2022.

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31 of 54 references.

References · 31

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19 more
  1. 2019Queens are Powerful too: Mitigating Gender Bias in Dialogue Generationcited by 152
  2. 2016Neural Belief Tracker: Data-Driven Dialogue State Trackingcited by 143
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Citing papers per year: 2022: 1; 2023: 3; 2024: 7; 2025: 2.

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