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A survey of controllable text generation using transformer-based pre-trained language models
Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …
generation (NLG). It is regarded as crucial for the development of advanced text generation …
Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
Recent studies show that the predictive performance of graph neural networks (GNNs) is
inconsistent and varies across different experimental runs, even with identical parameters …
inconsistent and varies across different experimental runs, even with identical parameters …
PLACES: Prompting language models for social conversation synthesis
Collecting high quality conversational data can be very expensive for most applications and
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …
BoB: BERT over BERT for training persona-based dialogue models from limited personalized data
Maintaining consistent personas is essential for dialogue agents. Although tremendous
advancements have been brought, the limited-scale of annotated persona-dense data are …
advancements have been brought, the limited-scale of annotated persona-dense data are …
A survey on recent advances in llm-based multi-turn dialogue systems
This survey provides a comprehensive review of research on multi-turn dialogue systems,
with a particular focus on multi-turn dialogue systems based on large language models …
with a particular focus on multi-turn dialogue systems based on large language models …
EmpDG: Multiresolution interactive empathetic dialogue generation
A humanized dialogue system is expected to generate empathetic replies, which should be
sensitive to the users' expressed emotion. The task of empathetic dialogue generation is …
sensitive to the users' expressed emotion. The task of empathetic dialogue generation is …
Harnessing the power of large language models for empathetic response generation: Empirical investigations and improvements
Y Qian, WN Zhang, T Liu - arxiv preprint arxiv:2310.05140, 2023 - arxiv.org
Empathetic dialogue is an indispensable part of building harmonious social relationships
and contributes to the development of a helpful AI. Previous approaches are mainly based …
and contributes to the development of a helpful AI. Previous approaches are mainly based …
One chatbot per person: Creating personalized chatbots based on implicit user profiles
Personalized chatbots focus on endowing chatbots with a consistent personality to behave
like real users, give more informative responses, and further act as personal assistants …
like real users, give more informative responses, and further act as personal assistants …
Faithfulness in natural language generation: A systematic survey of analysis, evaluation and optimization methods
Natural Language Generation (NLG) has made great progress in recent years due to the
development of deep learning techniques such as pre-trained language models. This …
development of deep learning techniques such as pre-trained language models. This …