no code implementations • 12 Dec 2023 • Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud
The results suggest that LLMs do not produce good knowledge entities that reflect the cybersecurity context, but our results show some potential for noun extractors.
no code implementations • 20 May 2023 • Andrei Kucharavy, Rachid Guerraoui, Ljiljana Dolamic
In this paper, we show that a class of evolutionary algorithms (EAs) inspired by the Gillespie-Orr Mutational Landscapes model for natural evolution is formally equivalent to SGD in certain settings and, in practice, is well adapted to large ANNs.
no code implementations • 20 Apr 2023 • Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic
We then leverage this definition to show that a general class of gradient-free ML algorithms - ($1,\lambda$)-Evolutionary Search - can be combined with classical distributed consensus algorithms to generate gradient-free byzantine-resilient distributed learning algorithms.
1 code implementation • 18 Apr 2023 • Da Silva Gameiro Henrique, Andrei Kucharavy, Rachid Guerraoui
This prominence amplified prior concerns regarding the misuse of LLMs and led to the emergence of numerous tools to detect LLMs in the wild.
no code implementations • 21 Mar 2023 • Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal, Maxime Würsch, Ljiljana Dolamic, Remi Sabonnadiere, Dimitri Percia David, Alain Mermoud, Vincent Lenders
Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of interactions with AI (conversational models).
1 code implementation • 1 Jun 2022 • Cyril Vallez, Andrei Kucharavy, Ljiljana Dolamic
The advent of the internet, followed shortly by the social media made it ubiquitous in consuming and sharing information between anyone with access to it.
no code implementations • 29 Sep 2021 • Andrei Kucharavy, Ljiljana Dolamic, Rachid Guerraoui
Be it in natural language generation or in the image generation, massive performances gains have been achieved in the last years.
no code implementations • RANLP 2021 • Kevin Blin, Andrei Kucharavy
In this paper we address the problem of fine-tuned text generation with a limited computational budget.
no code implementations • 28 Jul 2020 • Hung-Ji Tsai, Anjali R. Nelliat, Andrei Kucharavy, Mohammad Ikbal Choudhury, Sean X. Sun, Michael C. Schatz, Rong Li
Whether aneuploid cells with diverse karyotypes have any properties in common has a been a subject of intense interest.
1 code implementation • 22 May 2020 • Andrei Kucharavy, El Mahdi El Mhamdi, Rachid Guerraoui
Generative adversarial networks (GANs) are pairs of artificial neural networks that are trained one against each other.
3 code implementations • ICLR 2020 • El-Mahdi El-Mhamdi, Rachid Guerraoui, Andrei Kucharavy, Sergei Volodin
We study fault tolerance of neural networks subject to small random neuron/weight crash failures in a probabilistic setting.