2 papers
cs.NI2026
An LLM-Based Framework for Intent-Driven Network Topology Design
Kholoud El-Habbouli, Fen Zhou, Stephane Huet
Designing deployable and resilient network topologies from natural language requirements remains a challenging problem in network automation. This work investigates the ability of…
cs.CL2026
Using Multimodal and Language-Agnostic Sentence Embeddings for Abstractive Summarization
Chaimae Chellaf, Salima Mdhaffar, Yannick Estève +1
Abstractive summarization aims to generate concise summaries by creating new sentences, allowing for flexible rephrasing. However, this approach can be vulnerable to inaccuracies,…