GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory
cs.AI
Submitted: 2026-08-27
Updated: 2026-08-27
Comments: Project page with code: https://github.com/ligeng0197/graphmemix
Code: https://github.com/ligeng0197/graphmemix
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
- MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
- M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions
- MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory
- AUGUSTUS: An LLM-Driven Multimodal Agent System with Contextualized User Memory
- MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
- According to Me: Long-Term Personalized Referential Memory QA
- MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
- MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
- MIRIX: Multi-Agent Memory System for LLM-Based Agents
- H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human Interactions
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