Image de couverture de livre

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Minhua, Zhang, Zhiwei, Lu, Hanqing, Liu, Hui, Tang, Xianfeng, He, Qi, Zhang, Xiang, Wang, Suhang
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
par: Zhang, Zhiwei, et autres
Publié: (2025)

Position: Agentic Evolution is the Path to Evolving LLMs
par: Lin, Minhua, et autres
Publié: (2026)

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
par: Lin, Minhua, et autres
Publié: (2026)

A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
par: Lin, Minhua, et autres
Publié: (2025)

How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
par: Lin, Minhua, et autres
Publié: (2026)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
par: Zhang, Zhiwei, et autres
Publié: (2024)

MemEvolve: Meta-Evolution of Agent Memory Systems
par: Zhang, Guibin, et autres
Publié: (2025)

Divide-Verify-Refine: Can LLMs Self-Align with Complex Instructions?
par: Zhang, Xianren, et autres
Publié: (2024)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
par: Lin, Minhua, et autres
Publié: (2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
par: Zhang, Zhiwei, et autres
Publié: (2025)

MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
par: Li, Chunyu, et autres
Publié: (2026)

MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
par: Li, Ruoran, et autres
Publié: (2026)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
par: Wang, Fali, et autres
Publié: (2025)

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
par: Wu, Chuanjie, et autres
Publié: (2026)

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
par: Wu, Zongyu, et autres
Publié: (2025)

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
par: Shi, Yaorui, et autres
Publié: (2026)

Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
par: Lin, Minhua, et autres
Publié: (2024)

MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
par: Zhang, Shengtao, et autres
Publié: (2026)

Catastrophic Failure of LLM Unlearning via Quantization
par: Zhang, Zhiwei, et autres
Publié: (2024)

SUA: Stealthy Multimodal Large Language Model Unlearning Attack
par: Zhang, Xianren, et autres
Publié: (2025)

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
par: Zhang, Haozhen, et autres
Publié: (2026)

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
par: Zhang, Guibin, et autres
Publié: (2025)

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents
par: Zhang, Xiaohui, et autres
Publié: (2026)

Stable Blanket with Hidden Variables and Cycles
par: Xiang, Hanqing
Publié: (2026)

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
par: He, Pengfei, et autres
Publié: (2025)

MemR$^3$: Memory Retrieval via Reflective Reasoning for LLM Agents
par: Du, Xingbo, et autres
Publié: (2025)

MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
par: Liao, Junwei, et autres
Publié: (2026)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
par: Xu, Junjie, et autres
Publié: (2024)

Robustness Inspired Graph Backdoor Defense
par: Zhang, Zhiwei, et autres
Publié: (2024)

LatentMem: Customizing Latent Memory for Multi-Agent Systems
par: Fu, Muxin, et autres
Publié: (2026)

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
par: Wang, Fali, et autres
Publié: (2025)

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
par: Hu, Chuanrui, et autres
Publié: (2026)

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
par: Lin, Minhua, et autres
Publié: (2024)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
par: Dai, Enyan, et autres
Publié: (2024)

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
par: Wang, Yuyao, et autres
Publié: (2026)

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium
par: Meng, Yuqiao, et autres
Publié: (2026)

MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
par: Chen, Han, et autres
Publié: (2026)

VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
par: Chen, Yuhao, et autres
Publié: (2026)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
par: Wei, Tianxin, et autres
Publié: (2024)

Mem-W: Latent Memory-Native GUI Agents
par: Zhang, Guibin, et autres
Publié: (2026)