Author

Alipanah Parviz

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#natural language process... Jan 2026

LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language Agents

A novel architecture incorporating an explicit private working memory is proposed and it is demonstrated that this mechanism restores consistency with a fixed hidden state, establishing private state as a necessary component for PSIT-capable language agents.

Davide Baldelli, Alipanah Parviz, A. Zouaq et al. · arXiv.org · 2 citations

Preprint Jul 2026

Reassessing Muon for Matrix Factorization

It is found that Muon does not consistently outperform AdamW in this setting and that several previously reported advantages are sensitive to hyperparameter choices, providing a more nuanced picture of when spectrum-aware orthogonalization is beneficial and arguing for evaluating modern optimizers on controlled problem...

Alipanah Parviz, Gal Mishne, Alex Cloninger · 0 citations

#graph neural networks Preprint Aug 2026

Nonlinear Laplacians Improve Signed-Directed Graph Learning

This work introduces a non-linear Laplacian operator specific to signed and directed networks (NLSD) and proposes an efficient spectral GNN framework (NLSD-GNN), which not only integrates signed and directional data effectively but also achieves superior performance across diverse datasets.

Alipanah Parviz, Yuichi Yoshida · 3 citations