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BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
[article]
2021
arXiv
pre-print
Our approach is to embed a PTLM in a broader system that also includes an evolving, symbolic memory of beliefs -- a BeliefBank -- that records but then may modify the raw PTLM answers. ...
This is significant as it is a first step towards PTLM-based architectures with a systematic notion of belief, enabling them to construct a more coherent picture of the world, and improve over time without ...
The authors of this work take full responsibility for its content. ...
arXiv:2109.14723v1
fatcat:b5wgdj66gbb5zk3zpfkb4fi3q4
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
unpublished
Our approach is to embed a PTLM in a broader system that also includes an evolving, symbolic memory of beliefs -a BeliefBank -that records but then may modify the raw PTLM answers. ...
This is significant as it is a first step towards PTLM-based architectures with a systematic notion of belief, enabling them to construct a more coherent picture of the world, and improve over time without ...
The authors of this work take full responsibility for its content. ...
doi:10.18653/v1/2021.emnlp-main.697
fatcat:e2vauuoc6nehri54i75vtag574
Enriching a Model's Notion of Belief using a Persistent Memory
[article]
2021
arXiv
pre-print
Our approach is to add a memory component -- a BeliefBank -- that records a model's answers, and two mechanisms that use it to improve consistency among beliefs. ...
This is significant as it is a first step towards endowing models with an evolving memory, allowing them to construct a more coherent picture of the world. ...
Introduction How might we ascribe a notion of belief to a model? ...
arXiv:2104.08401v2
fatcat:lm46ijzvbrcphbhxoc3krpcq5y