PolyFlow is a neural-symbolic framework for statically reasoning about information flow across language boundaries, combining large language models (LLMs) and static analysis synergistically, and is cost-effective and superior to various kinds of state-of-the-art baselines.
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A systematic literature review of technical approaches, including agent architecture, perception, memory, reasoning and planning, action space, orchestration, and self-improvement, reveals a field that has built agents able to act but not yet agents whose authority is bounded or whose behavior is auditable.
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