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ml:graphical_models

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ml:graphical_models [2025/03/07 12:31] – [Courses, Tutorials, and Overview Papers] jmflanigml:graphical_models [2025/05/03 01:43] (current) – [Interesting NLP Deep Learning + PGM Papers] jmflanig
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   * [[https://arxiv.org/pdf/2106.02736.pdf|Goyal et al 2021 - Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis–Hastings]]   * [[https://arxiv.org/pdf/2106.02736.pdf|Goyal et al 2021 - Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis–Hastings]]
   * [[https://arxiv.org/pdf/2105.15021.pdf|Yang et al 2021 - Neural Bi-Lexicalized PCFG Induction]] Uses a Bayesian network to describe their model   * [[https://arxiv.org/pdf/2105.15021.pdf|Yang et al 2021 - Neural Bi-Lexicalized PCFG Induction]] Uses a Bayesian network to describe their model
 +  * [[https://arxiv.org/pdf/2406.06950|Hou et al 2024 - A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation]]
  
 ===== Recent NLP Papers that Use PGMs ==== ===== Recent NLP Papers that Use PGMs ====
ml/graphical_models.1741350712.txt.gz · Last modified: 2025/03/07 12:31 by jmflanig
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