Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction

arXiv:2601.05107 · cs.AI · Submitted 2026-01-08 · Read on arXiv

cs.AI

Submitted: 2026-01-08

Updated: 2026-08-31

Terminology

• Alignment — 25× in this paper · explained in 1 episode
• Personalization — 8× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Core — 6× in this paper · explained in 2 episodes
• Perplexity — 6× in this paper · explained in 3 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• GRPO — 5× in this paper · explained in 6 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Adaptive Sampling — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Representation Engineering — 2× in this paper · explained in 2 episodes
• Steering — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Agent Architectures — 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
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Drift No More? Context Equilibria in Multi-Turn LLM Interactions
• Memory in the Age of AI Agents
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• LLMs Get Lost In Multi-Turn Conversation
• Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
• A Survey of Personalized Large Language Models: Progress and Future Directions
• RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data
• RewardBench 2: Advancing Reward Model Evaluation
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
• Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
• How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior
• Qwen3 Technical Report
• MemoryBank: Enhancing Large Language Models with Long-Term Memory

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