CUE-Mem: Benchmarking Long-Term User Memory via Implicit Cues in Multimodal Conversations

arXiv:2609.32574 · cs.AI, cs.CL · Submitted 2026-09-26 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/yulinlp/CUEMEM

Terminology

• Benchmark — 40× in this paper · explained in 2 episodes
• Accuracy — 27× in this paper · explained in 1 episode
• Consistency — 10× in this paper · explained in 3 episodes
• Benchmarking — 6× in this paper · explained in 4 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Thinking mode — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Failure Taxonomy — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
• SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory
• ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency
• MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
• Scaling Synthetic Data Creation with 1,000,000,000 Personas
• M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• Memory OS of AI Agent
• PersonaVLM: Long-Term Personalized Multimodal LLMs
• MemGPT: Towards LLMs as Operating Systems
• ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
• MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
• Qwen3-ASR Technical Report
• OpenAI GPT-5 System Card
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• Augmenting Language Models with Long-Term Memory
• DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings
• Qwen3-Omni Technical Report
• A-MEM: Agentic Memory for LLM Agents
• Qwen3 Technical Report

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