SCOPE is a self-adaptive symbolic planning framework that refines plans and evolves symbolic world models via simulator feedback and distilled knowledge to improve long-horizon planning in open-ended embodied environments.
arXiv preprint arXiv:2505.19905 , year=
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Evo-Memory is a new streaming benchmark and evaluation framework for self-evolving memory in LLM agents, unifying over ten memory modules and introducing the ReMem pipeline for continual improvement on multi-turn and reasoning datasets.
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Evo-Memory is a new streaming benchmark and evaluation framework for self-evolving memory in LLM agents, unifying over ten memory modules and introducing the ReMem pipeline for continual improvement on multi-turn and reasoning datasets.