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S. U. Rittikar

3 papers indexed here

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#small language model Book Open access Nov 2026

When Representation Drift Does Not Reflect Functional Contribution: A Regime Analysis of Prompt Tuning

Three similarity metrics, namely CKA, Singular Vector Canonical Correlation Analysis (SVCCA), and Projection-Weighted Canonical Correlation Analysis (PWCCA), agree on drift magnitude across every regime yet cannot distinguish functional from non-functional adaptation.

Asma Ben Ali, S. Rittikar, S. Ramanna · 0 citations
#small language model Book Open access Nov 2026

When Representation Drift Does Not Reflect Functional Contribution: A Regime Analysis of Prompt Tuning

Three similarity metrics, namely CKA, Singular Vector Canonical Correlation Analysis (SVCCA), and Projection-Weighted Canonical Correlation Analysis (PWCCA), agree on drift magnitude across every regime yet cannot distinguish functional from non-functional adaptation.

Asma Ben Ali, S. Rittikar, S. Ramanna · 0 citations
#machine learning Preprint Sep 2026

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

LexLattice is introduced, an extractive summarizer that reifies a legal act's hierarchy as a two-dimensional semantic lattice and consolidates over it with a masked 2D neural cellular automata before selection and position explicit consolidation over document structure as a compact and traceable alternative to scale fo...

S. U. Rittikar, S. Ramanna · 0 citations

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