#memory-framework News & Analysis

3 articles tagged with #memory-framework. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Mar 56/10

🧠

Learning Physical Principles from Interaction: Self-Evolving Planning via Test-Time Memory

Researchers introduce PhysMem, a memory framework that enables vision-language model robot planners to learn physical principles through real-time interaction without updating model parameters. The system records experiences, generates hypotheses, and verifies them before application, achieving 76% success on brick insertion tasks compared to 23% for direct experience retrieval.

AIBullisharXiv – CS AI · Apr 66/10

🧠

Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents

Researchers propose a new Neuro-Symbolic Dual Memory Framework that addresses key limitations in large language models for long-horizon decision-making tasks. The framework separates semantic progress guidance from logical feasibility verification, significantly improving performance on complex AI tasks while reducing errors and inefficiencies.

AIBullisharXiv – CS AI · Mar 36/103

🧠

HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering

Researchers propose HIMM, a new memory framework for AI embodied agents that separates episodic and semantic memory to improve long-term performance. The system achieves significant gains on benchmarks, with 7.3% improvement in LLM-Match and 11.4% in LLM MatchXSPL, addressing key challenges in deploying multimodal language models as embodied agent brains.