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Found 6 papers, 3 papers with code
Inconsistencies in Masked Language Models
Learning to predict masked tokens in a sequence has been shown to be a helpful pretraining objective for powerful language models such as PaLM2.
From Knowledge Augmentation to Multi-tasking: Towards Human-like Dialogue Systems
The goal of building dialogue agents that can converse with humans naturally has been a long-standing dream of researchers since the early days of artificial intelligence.
Fusing task-oriented and open-domain dialogues in conversational agents
It features inter-mode contextual dependency, i. e., the dialogue turns from the two modes depend on each other.
Ranked #1 on
Dialogue Generation
on FusedChat
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
To the best of our knowledge, this survey is the most comprehensive and up-to-date one at present for deep learning based dialogue systems, extensively covering the popular techniques.
Augmenting End-to-End Dialog Systems with Commonsense Knowledge
Building dialog agents that can converse naturally with humans is a challenging yet intriguing problem of artificial intelligence.
Recent Trends in Deep Learning Based Natural Language Processing
Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains.
