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Petar Veličković

2 papers indexed

arxivcs.LGcs.AI2026-07-14

The Computational Basis of Confidence in Large Language Models

Dharshan Kumaran, Viorica Patraucean, Maks Ovsanikov, Petar Veličković, Nathaniel Daw

Reliable confidence -- the probability that a model's own answer is correct -- is essential for the trustworthy deployment of language models. Existing work has largely evaluated confidence by how well it predicts correctness and whether it is calibrated, leaving open a more fund…

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arxivcs.CLcs.AI2026-07-02

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal, Robin Algayres, Alek Andreev, Olivier Bachem, et al.

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemma 4 model suite features dense and Mixture-of-Experts architectures, ranging from 2.3B to 31B parame…

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