arXiv AI By Hatim Chergui, Farhad Rezazadeh, Miguel Catalan Cid, Pouria Sayyad Khodashenas, Daniel Camps Mur, Christos Verikoukis

Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management

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arXiv Machine Learning
Sep 1

A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks

arXiv:2608.29255v1 Announce Type: cross Abstract: Artificial Intelligence-Generated Content (AIGC) services employ Generative AI (GenAI) models to automatically generate diverse content. Mobile AIGC...

By Chongzhi Wu, Zhengtao Li, Jiawen Kang, Jinbo Wen, Xiaohuan Li, Maomao Zhang, Ekram Hossain
arXiv Machine Learning
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What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents

arXiv:2607. 08032v1 Announce Type: new Abstract: Large language models, and the agents built on them, spend an ever-growing share of their compute and memory on remembering: caching attention keys and values, carrying long prompts, maintaining recurrent state, and storing what happened in previous turns and sessions.

By Ashwin Gerard Colaco, Nada Lahjouji