Author

Leonid Karlinsky

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#artificial intelligence Preprint Oct 2026

Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models

Test-time scaling often seeks better answers by sampling multiple responses from a frozen model, yet conventional temperature sampling generates every candidate along the same fixed computation path. We introduce architectural sampling, a training-free method that generates candidates through distinct forward computati...

Akshit Singh, Shyam Marjit, Wei Lin et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Discriminative World Models for Web Agents

Predicted-state matching, a training objective where the predicted representation must distinguish the true resulting state from those reached by alternative actions, is introduced and outperforms world models trained with supervised next-state prediction.

Kelvin Li, Dhruva Pendharkar, Anish Pahilajani et al. · 0 citations