Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning.
Christopher Michael RyttingDavid WingatePublished in: NeurIPS (2021)
Keyphrases
- language model
- inductive bias
- language modeling
- information retrieval
- inductive learning
- probabilistic model
- machine learning
- query expansion
- n gram
- language modelling
- prior knowledge
- hypothesis space
- pac learning
- context sensitive
- retrieval model
- knowledge representation
- domain knowledge
- supervised learning
- domain theory
- knowledge base
- smoothing methods
- relevance model
- natural language
- keywords
- data sets
- spoken term detection
- training examples
- knowledge acquisition
- information extraction
- training set
- training data