Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models | Paper Citation Record

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This paper cites Fine-grained analysis of sentence embeddings using auxiliary prediction tasks.

Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Fine-grained analysis of sentence embeddings using auxiliary prediction tasks

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers as implicit state estimators: In-context learning in dynamical systems.Transactions on Machine Learning Research, 2026

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models What learning algorithm is in-context learning? investigations with linear models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Understanding intermediate layers using linear classifier probes, 2017

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers as statisticians: Provable in-context learning with in-context algorithm selection

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains.The annals of mathematical statistics, 41(1):164–171, 1970

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This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022.

Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Cover and Joy A

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers learn latent mixture models in-context via mirror descent

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Edelman, eran malach, and Surbhi Goel

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models What one cannot, two can: Two-layer trans- formers provably represent induction heads on any-order markov chains.arXiv preprint arXiv:2508.07208, 2025

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models A mathematical framework for transformer circuits.Transformer Circuits Thread,

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models What can transformers learn in-context? a case study of simple function classes

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Causal abstractions of neural networks

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Finding alignments between interpretable causal variables and distributed neural representations

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Hidden markov models: Pitfalls and opportunities in ecology.Methods in Ecology and Evolution, 14(1):43–56, 2023

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models A spectral algorithm for learning hidden markov models.Journal of Computer and System Sciences, 78(5):1460–1480, 2012

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models On Limitation of Transformer for Learning HMMs

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Visualisation and ’diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure (extended abstract)

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models On the origins of linear representations in large language models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Emergent world models and latent variable estimation in chess-playing lan- guage models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Li, Zifan Carl Guo, and Jacob Andreas

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Emergent world representations: Exploring a sequence model trained on a synthetic task

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models From kepler to newton: Inductive biases guide learned world models in transformers, 2026

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Attention with markov: A curious case of single-layer transformers

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Uncovering ecological state dynamics with hidden markov models.Ecology letters, 23(12):1878–1903, 2020

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Progress mea- sures for grokking via mechanistic interpretability

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Emergent linear representations in world models of self-supervised sequence models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Riechers, Daniel Filan, and Adam Shai

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Transformers on markov data: Constant depth suffices

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Finite sample identification of partially observed bilinear dynamical systems.arXiv preprint arXiv:2501.07652, 2025

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Chang, Ashesh Rambachan, and Sendhil Mullainathan

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Learning In-context n-grams with Transformers: Sub-n-grams Are Near-stationary Points

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Interpreting the Repeated Token Phenomenon in Large Language Models

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Riechers, Lucas Teixeira, Alexander Gietelink Oldenziel, and Sarah Marzen

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models A hidden markov model for space-time precipitation.Water Resources Research, 27(8):1917–1923, 1991

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models , t−1: • Set eb′ k =f tri(o1:t, ebk, ok)

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models • Setc o =f bi(o1:t, ebo t+1)

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Normalize overo∈ O

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models We need at least (32, 128), and increasing beyond (64,256) does not lead to better performance

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models URL https://doi.org/10.24963/ijcai.2018/796

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Extracting Algorithms in Pre-trained LLMs: A Case on Hidden Markov Models AAAA

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