Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning.
Christopher Michael RyttingDavid WingatePublished in: CoRR (2021)
Keyphrases
- language model
- inductive bias
- language modeling
- n gram
- probabilistic model
- inductive learning
- machine learning
- retrieval model
- query expansion
- language modelling
- information retrieval
- prior knowledge
- supervised learning
- statistical language models
- smoothing methods
- pac learning
- knowledge representation
- domain knowledge
- context sensitive
- training examples
- hypothesis space
- domain theory
- knowledge base
- relevance model
- active learning
- natural language
- language models for information retrieval
- upper bound
- uniform distribution
- multitask learning
- keywords
- sample selection
- decision trees