Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo.
Jian-Qiao ZhuHaijiang YanThomas L. GriffithsPublished in: CoRR (2024)
Keyphrases
- language model
- markov chain monte carlo
- mental representations
- mental models
- probabilistic model
- language modeling
- cognitive science
- bayesian inference
- generative model
- markov chain
- parameter estimation
- posterior distribution
- posterior probability
- cognitive processes
- monte carlo
- approximate inference
- particle filter
- mixture model
- information retrieval
- particle filtering
- graphical models
- simulated annealing
- computer science
- data association
- smoothing methods
- training data
- least squares
- information extraction
- artificial intelligence
- emotional state
- bayesian networks
- reinforcement learning
- maximum likelihood
- conditional random fields
- expectation maximization
- model selection