This revised manuscript presents a controlled study of morphological hijacking in frozen language-model representations using the synthetic LUXVAR/VARZIN framework. The study shows that adversarial surface structure can dominate frozen representations, while a lightweight trained projection head can substantially recov...
Nirouyar Reza· Zenodo (CERN European Organi...· 0 citations
Preprint. Not yet peer-reviewed. Frozen autoregressive language models cluster surface-similar tokenstogether even when a stronger, task-relevant structure is available inthe input. This paper documents "morphological hijacking" — near-totalcollapse of algebraic-structure recovery under adversarial surfacecorrelation —...
Nirouyar Reza· Zenodo (CERN European Organi...· 0 citations
Preprint. Not yet peer-reviewed. Abstract: Frozen autoregressive language models cluster surface-similar tokens together even when a stronger, task-relevant structure is available in the input. We construct an adversarial lexicon (LUXVAR Core-30) in which word meaning is defined by orbit membership under the finite alg...
Nirouyar Reza· Zenodo (CERN European Organi...· 0 citations
Preprint. Not yet peer-reviewed. Abstract: Frozen autoregressive language models cluster surface-similar tokens together even when a stronger, task-relevant structure is available in the input. We construct an adversarial lexicon (LUXVAR Core-30) in which word meaning is defined by orbit membership under the finite alg...
Nirouyar Reza· Zenodo (CERN European Organi...· 0 citations
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