IBM 论文提出面向工具调用智能体的 JevAct 决策门
IBM 论文提出 JevAct，在不更换模型和工具的情况下，为工具调用智能体加入运行时决策门。LLM 先把领域策略转成代码检查和是非问题，工具调用执行前由代码核验工具记录事实，再由类似 Jev 的决策模型回答对话相关问题，失败则将反馈交回智能体修订。
Banger paper from IBM on decision gates for agents.
They add a runtime gate to tool-using agents and keep the models and tools the same.
JevAct is a check that sits between the agent and its tools. An LLM first turns the domain policy into code checks and yes/no questions. Before a selected tool call runs, the code checks the facts in the tool records, and a Jev-like decision model answers the questions about the conversation. If the call fails a check, it goes back to the agent with feedback so the agent can revise it.
On τ²-bench Telecom, Opus 4.6's success across all three runs rose from 39.5% to 80.7%.
On Telecom, all eight agents improved by 16.9 points on average in three-run success. All nine improved on BFCL. Airline results were smaller and mixed.
They show that the gains come from the harness.
arxiv.org/abs/2610.38620
Chat with Paper: academy.dair.ai/papers/think…
来源：omarsar0 · x.com