MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation 事件

MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation arXiv:2603.23234v2 Announce Type: replace Abstract: LLM agents increasingly rely on memory mechanisms to reuse knowledge from past problem-solving experiences. However, existing methods typically construct memory for a single agent and reuse it with the same underlying model, tightly coupling stored knowledge to model-specific reasoning styles. In heterogeneous deployments, where agents may be instantiated with