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Paul M. Riechers

2 accepted papers

2025

Constrained Belief Updates Explain Geometric Structures in Transformer Representations

ICML 2025poster

What computational structures emerge in transformers trained on next-token prediction? In this work, we provide evidence that transformers implement constrained Bayesian belief updating---a parallelized version of partial Bayesian inference shaped by architectural constraints. We integrate the model…

Cited by 0SourcePDFScholar
2024

Transformers Represent Belief State Geometry in their Residual Stream

NeurIPS 2024poster

What computational structure are we building into large language models when we train them on next-token prediction? Here, we present evidence that this structure is given by the meta-dynamics of belief updating over hidden states of the data- generating process. Leveraging the theory of optimal pre…

Cited by 5SourcePDFScholar