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Author

Ojas Shirekar

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#artificial intelligence Preprint Oct 2026

PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies

Analogical reasoning involves identifying and preserving relational structures across domains. However, existing approaches to AI-driven multimodal analogy generation lack an interpretable measure of whether this structure is understood and maintained in the generated output. We address this gap with Pullback Refinemen...

Mirella Zeisler, Ojas Shirekar, Mircea Lica et al. · 0 citations
#artificial intelligence Preprint Sep 2026

OverForge: Reasoning Through Strategies and Tactics Helps Cooperative Lifelong Adaptation

Cooperative language-model agents must coordinate over long horizons and adapt to changing environments and to partners with unfamiliar conventions, yet existing agents map observations to actions without separating persistent coordination strategies from their tactical execution. We introduce OverForge, a training-fre...

Oana Madalina Fron, Ojas Shirekar, Chirag Raman · 0 citations
#artificial intelligence Preprint Sep 2026

Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics

Human social behaviour is not a collection of independent motions, but a jointly organised process in which group dynamics and individual variation continuously shape one another. Yet existing social motion models often prioritise plausible trajectories while leaving interaction state implicit, limiting their ability t...

Ojas Shirekar, Yash Surange, Agustinas Jučas et al. · 0 citations

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