We describe a conceptual architecture to define the knowledge-enhanced conversational agents and investigate different domains of applications. We conclude this work by listing some promising research pathways for future work.doi:10.1007/s11390-024-2883-4Fabio Caffaro...
摘要原文 In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date. The most popular sequence to sequence models typically generate and hope generic utterances that can be memorized in the weights of the model when...
Stephen Roller ∗ , Kurt Shuster ∗ , Angela Fan, Michael Auli, Jason WestonFacebook AI Research{edinan,roller,kshuster,angelafan,michaelauli,jase}@fb.comA BSTRACTIn open-domain dialogue intelligent agents should exhibit the use of knowledge,however there are few convincing demonstrations of th...
We describe an architecture for building speech-enabled conversational agents, deployed as self-contained Web services, with ability to provide inference processing on very large knowledge bases and its application to voice enabled chatbots in a virtual storytelling environment. The architecture integrates...
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Domain Factuality Enhanced LLMs Healthcare Domain-enhanced LLMs CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study. Guan, Zihan et al. arXiv 2023. [paper] ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowle...
Enhanced knowledge selection for grounded dialogues via document semantic graphs. arXiv 2022, arXiv:2206.07296. [Google Scholar] Li, Z.; Niu, C.; Meng, F.; Feng, Y.; Li, Q.; Zhou, J. Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. In Proceedings of ...
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