Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo.
Stephen ZhaoRob BrekelmansAlireza MakhzaniRoger B. GrossePublished in: CoRR (2024)
Keyphrases
- probabilistic inference
- language model
- sequential monte carlo
- graphical models
- probabilistic model
- language modeling
- visual tracking
- conditional probabilities
- bayesian networks
- particle filter
- approximate inference
- belief networks
- information retrieval
- message passing
- importance sampling
- particle filtering
- posterior distribution
- mixture model
- conditional random fields
- object tracking
- posterior probability
- probability distribution
- feature vectors
- belief propagation
- bayesian inference
- mean shift