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20242026
most citedFaster and Lighter LLMs: A Survey on Current Challenges and Way Forward

2 citations · 2 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

quant-ph2026

Joint GKP Encoding for GHZ States Transmission over Bosonic Quantum MIMO Channels

Seid Koudia, Selssabil Kadid, Symeon Chatzinotas +1

We study transmission of a Greenberger-Horne-Zeilinger (GHZ) state over nonunitary quantum multiple-input multiple-output (QuMIMO) channels using finite-energy Gottesman-Kitaev-Pre…

cs.NI2026

Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks

Hatim Chergui, Carolina Fernández-Martínez, Mehdi Bennis +1

Future 6G networks will rely on Large Language Model (LLM) agents to manage the Radio Access Network (RAN). However, current architectures assume inter-agent messages convey object…

cs.NI2026

6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence

Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah

Sixth-generation (6G) networks are increasingly envisioned as AI-native infrastructures integrating communication, sensing, and computing into a unified fabric. However, existing a…

cs.NI2026

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks

Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah

Emerging 6G visions, reflected in ongoing standardization efforts within 3GPP, IETF, ETSI, ITU-T, and the O-RAN Alliance, increasingly characterize networks as AI-native systems in…

cs.LG2026

Agentic AI-RAN: Enabling Intent-Driven, Explainable and Self-Evolving Open RAN Intelligence

Zhizhou He, Yang Luo, Xinkai Liu +4

Open RAN (O-RAN) exposes rich control and telemetry interfaces across the Non-RT RIC, Near-RT RIC, and distributed units, but also makes it harder to operate multi-tenant, multi-ob…