OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents

arXiv:2601.13722 · cs.CL, cs.AI · Submitted 2026-01-20 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-01-20

Updated: 2026-09-26

Comments: Accepted to EMNLP 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Personalization — 111× in this paper · explained in 2 episodes
• Sycophancy — 96× in this paper · explained in 4 episodes
• Benchmark — 20× in this paper · explained in 2 episodes
• RAG — 14× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Verification — 7× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Embeddings — 6× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 4× in this paper
• AI Agents — 3× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Model-Agnostic — 3× in this paper · explained in 2 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Memory Augmentation — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 5 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• RAG (Retrieval-Augmented Generation) — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
• GPT-4o System Card
• Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• Memory OS of AI Agent
• MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
• DeepSeek-V3 Technical Report
• Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust
• A-MEM: Agentic Memory for LLM Agents
• Qwen3 Technical Report
• PersonaAgent: Bridging Memory and Action for Personalized LLM Agents
• Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
• Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment

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