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Unified Context Evolution for LLM Agents
破解LLM智能体多轮交互中策略遗忘难题,提出统一上下文演化框架,提升跨任务学习效率。
arXiv:2606.02304v1 Announce Type: new Abstract: LLM-based agents can solve multi-step interactive tasks by combining reasoning with environment feedba…
破解LLM智能体多轮交互中策略遗忘难题,提出统一上下文演化框架,提升跨任务学习效率。
arXiv:2606.02304v1 Announce Type: new Abstract: LLM-based agents can solve multi-step interactive tasks by combining reasoning with environment feedba…
提出动态混合精度路由方法,在多步LLM交互中实现高效推理,在精度与效率间取得平衡。
arXiv:2602.02711v2 Announce Type: replace Abstract: Large language models (LLMs) achieve strong performance in long-horizon decision-making tasks thro…