Shaking the foundations: delusions in sequence models for interaction\n and control Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2110.10819
The recent phenomenal success of language models has reinvigorated machine\nlearning research, and large sequence models such as transformers are being\napplied to a variety of domains. One important problem class that has remained\nrelatively elusive however is purposeful adaptive behavior. Currently there is\na common perception that sequence models "lack the understanding of the cause\nand effect of their actions" leading them to draw incorrect inferences due to\nauto-suggestive delusions. In this report we explain where this mismatch\noriginates, and show that it can be resolved by treating actions as causal\ninterventions. Finally, we show that in supervised learning, one can teach a\nsystem to condition or intervene on data by training with factual and\ncounterfactual error signals respectively.\n
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2110.10819
- https://arxiv.org/pdf/2110.10819
- OA Status
- green
- Cited By
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286899435
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4286899435Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2110.10819Digital Object Identifier
- Title
-
Shaking the foundations: delusions in sequence models for interaction\n and controlWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-20Full publication date if available
- Authors
-
Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott Reed, Marcus Hütter, Nando de Freitas, Shane LeggList of authors in order
- Landing page
-
https://arxiv.org/abs/2110.10819Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2110.10819Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2110.10819Direct OA link when available
- Concepts
-
Counterfactual thinking, Variety (cybernetics), Perception, Sequence (biology), Cognitive psychology, Counterfactual conditional, Computer science, Artificial intelligence, Sequence learning, Transformer, Psychology, Class (philosophy), Cognitive science, Control (management), Machine learning, Social psychology, Engineering, Genetics, Biology, Electrical engineering, Voltage, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 5, 2023: 11, 2022: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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