Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper
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2506.14234
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Published
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41
Memory
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MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Paper • 2504.19413 • Published • 41 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 159 -
The Landscape of Memorization in LLMs: Mechanisms, Measurement, and Mitigation
Paper • 2507.05578 • Published • 6 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 160 -
Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
Paper • 2508.16745 • Published • 29 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 114 -
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 26 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 167 -
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
Paper • 2511.11007 • Published • 15 -
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
Paper • 2601.06789 • Published • 78 -
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
Paper • 2601.07372 • Published • 41 -
LatentMem: Customizing Latent Memory for Multi-Agent Systems
Paper • 2602.03036 • Published • 14 -
Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
Paper • 2602.10224 • Published • 18 -
Free(): Learning to Forget in Malloc-Only Reasoning Models
Paper • 2602.08030 • Published • 5