Author

Aditi Tiwari

University of Illinois Urbana-Champaign

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Preprint Sep 2026

Does Video Memory Use What It Retrieves? A Causal Audit of Memory Specificity

Video models increasingly use memory to preserve information over long sequences, with the assumption that gains come from retrieving and using the correct past content. Standard memory ablations test whether memory helps, but not whether the retrieved content is responsible. We test this directly with read-time memory...

Aditi Tiwari, Akshit Bhalla, D. Prasad et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

A competence gate is introduced that estimates domain-level source weights from resolved outcomes, shrinks uncertain estimates toward a global weight, and recalibrates the pooled forecast and provides a practical approach for selective model use based on measured marginal value.

Aditi Tiwari, Aashrith Bandaru, Heng Ji · 0 citations

#large language models Preprint Sep 2026

ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits

ViTAL-X, a lightweight model that equips frozen image-text backbones with temporal awareness while preserving their foundational spatial knowledge, achieves state-of-the-art performance and demonstrates that targeted, high-quality temporal alignment provides a highly efficient alternative to pure scaling.

V. SethuramanT., Savya Khosla, O. Susladkar et al. · 0 citations