MemDefrag: Latent Memory Defragmentation for Large Language Models

arXiv:2607.05969 · cs.CL · Submitted 2026-07-07 · Read on arXiv

cs.CL

Submitted: 2026-07-07

Updated: 2026-08-29

Comments: EMNLP 2026

Code: https://github.com/ryehr/MemDefrag

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

Terminology

• Accuracy — 55× in this paper · explained in 1 episode
• Transformer — 19× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Catastrophic Forgetting — 3× in this paper · explained in 5 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Model-Agnostic — 3× in this paper · explained in 2 episodes
• Steering — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Positional Bias — 2× in this paper · explained in 2 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Representation Engineering — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• Memory in the Age of AI Agents
• Mistral 7B
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• SeqPE: Transformer with Sequential Position Encoding
• RePo: Language Models with Context Re-Positioning
• Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory
• Steering Language Models With Activation Engineering
• MemGPT: Towards LLMs as Operating Systems
• Steering Llama 2 via Contrastive Activation Addition
• NextMem: Towards Latent Factual Memory for LLM-based Agents
• Pre-training Limited Memory Language Models with Internal and External Knowledge
• Representation Engineering: A Top-Down Approach to AI Transparency

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