Author

Y. Rawat

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#small language model Preprint Sep 2026

Position Aware Layer Queries for Test Time Training in Vision Language Models

Test-Time Training (TTT) adapts models to incoming test samples (e.g. out-of-distribution, (OOD)) when conventional fine-tuning is infeasible. Existing TTT methods for Vision-Language Models (VLMs) create supervision from several augmented views, each requiring forward (and often backward) passes through the entire VLM...

Rajat Modi, P. Pathak, Xin Liang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Canonical locks that encode part-whole hierarchies

One of the challenges in representational learning is how to encode part-whole hierarchies in a neural net. Prior works rely on flattening tree-like structures into string-like sequences and training a sequence-to-sequence model via autoregression. While such a representation works for parse-trees in NLP, it is not ent...

Rajat Modi, Y. Rawat · 0 citations