20 citations · 21 across the 8 of their papers we have counts for
8 papers
PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis
Lucas Tamic, Ilan Jaffeux-Cheniout, Xavier Marjou
While large language models (LLMs) show strong performance in natural language understanding and generation, their evaluation and adaptation to domain-specific constraints in telec…
PCAP-LM: An LLM-Native Text Representation for TLS Bulk Traffic Analysis
Xavier Marjou, Lucas Tamic, Ilan Jaffeux-Cheniout
Large language models (LLMs) offer powerful reasoning capabilities for network traffic analysis, but standard capture formats and their textual equivalents are prohibitively verbos…
Comparing a composite model versus chained models to locate a nearest visual object
Antoine Le Borgne, Xavier Marjou, Fanny Parzysz +1
Extracting information from geographic images and text is crucial for autonomous vehicles to determine in advance the best cell stations to connect to along their future path. Mult…
Exploring Global Climate Cooperation through AI: An Assessment of the AI4GCC Framework by simulations
Xavier Marjou, Arnaud Braud, Gaël Fromentoux
In scenarios where a single player cannot control other players, cooperative AI is a recent technology that takes advantage of deep learning to assess whether cooperation might occ…
Evaluating Inter-Operator Cooperation Scenarios to Save Radio Access Network Energy
Xavier Marjou, Tangui Le Gléau, Vincent Messié +3
Reducing energy consumption is crucial to reduce the human debt's with regard to our planet. Therefore most companies try to reduce their energetic consumption while taking care to…
Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat
Tangui Le Gléau, Xavier Marjou, Tayeb Lemlouma +1
In many societal and industrial interactions, participants generally prefer their pure self-interest at the expense of the global welfare. Known as social dilemmas, this category o…
GIPFA: Generating IPA Pronunciation from Audio
Xavier Marjou
Transcribing spoken audio samples into the International Phonetic Alphabet (IPA) has long been reserved for experts. In this study, we examine the use of an Artificial Neural Netwo…
OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network
Xavier Marjou
To transcribe spoken language to written medium, most alphabets enable an unambiguous sound-to-letter rule. However, some writing systems have distanced themselves from this simple…