Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.
Alexander K. LewTan Zhi-XuanGabriel GrandVikash K. MansinghkaPublished in: CoRR (2023)
Keyphrases
- language model
- sequential monte carlo
- probabilistic model
- language modeling
- context sensitive
- n gram
- language modelling
- visual tracking
- particle filter
- document retrieval
- retrieval model
- speech recognition
- query expansion
- smoothing methods
- information retrieval
- statistical language models
- generative model
- language modeling framework
- mixture model
- document ranking
- bayesian networks
- test collection
- language models for information retrieval
- graphical models
- conditional probabilities
- particle filtering
- relevance model
- posterior probability
- posterior distribution
- video sequences
- computer vision
- machine learning