output
20032025
most citedPolaritonic Bistability in Semiconductor Microcavities

416 citations

31 papers

cs.CL2025

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows

Mohamed Achref Ben Ammar, Mohamed Taha Bennani

The analysis of conversational dynamics has gained increasing importance with the rise of large language model-based systems, which interact with users across diverse contexts. In…

cs.CL2025★ 1 cited

Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models

Aziz Amari, Mohamed Achref Ben Ammar

The rapid expansion of information from diverse sources has heightened the need for effective automatic text summarization, which condenses documents into shorter, coherent texts.…

cs.CV2025★ 4 cited

An Efficient Deep Learning-Based Approach to Automating Invoice Document Validation

Aziz Amari, Mariem Makni, Wissal Fnaich +5

In large organizations, the number of financial transactions can grow rapidly, driving the need for fast and accurate multi-criteria invoice validation. Manual processing remains e…

cs.NI2025★ 9 cited

Routing Optimization Based on Distributed Intelligent Network Softwarization for the Internet of Things

Mohamed Ali Zormati, Hicham Lakhlef, Sofiane Ouni

The Internet of Things (IoT) establishes connectivity between billions of heterogeneous devices that provide a variety of essential everyday services. The IoT faces several challen…

cs.NI2024★ 31 cited

Review and Analysis of Recent Advances in Intelligent Network Softwarization for the Internet of Things

Mohamed Ali Zormati, Hicham Lakhlef, Sofiane Ouni

The Internet of Things (IoT) is an emerging technology that aims to connect heterogeneous and constrained objects to each other and to the Internet. It has grown significantly in a…

cs.LG2022★ 7 cited

DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment

Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh +2

Quantization is one of the most applied Deep Neural Network (DNN) compression strategies, when deploying a trained DNN model on an embedded system or a cell phone. This is owing to…