28 citations · 28 across the 5 of their papers we have counts for
6 papers
Shieldstral
Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +273
We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7 its size on text safety benchmarks and set…
Voxtral TTS
Mistral-AI, :, Alexander H. Liu +186
We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid…
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio +1
Recent advances in natural language processing highlight two key factors for improving reasoning in large language models (LLMs): (i) allocating more test-time compute tends to hel…
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Elizaveta Demyanenko, Davide Straziota, Carlo Baldassi +1
We consider random instances of non-convex perceptron problems in the high-dimensional limit of a large number of examples and weights , with finite load . We develo…
The twin peaks of learning neural networks
Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta +1
Recent works demonstrated the existence of a double-descent phenomenon for the generalization error of neural networks, where highly overparameterized models escape overfitting and…
Entropic gradient descent algorithms and wide flat minima
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer +4
The properties of flat minima in the empirical risk landscape of neural networks have been debated for some time. Increasing evidence suggests they possess better generalization ca…