This work studies the challenges of preventing unsafe behavior from persisting and enabling recovery when failures occur through a controlled testbed of stateful authorization tasks, where fixed LLM editors optimize executable agent components and independent traces record their effects.
Yun-Bei Zhang, Janet Wang, Saiyue Lyu et al.· 0 citations
Multi-agent systems derive their capabilities from sharing evidence, delegating tasks, and combining information across agents. The same process creates a safety problem: contributions that are admissible in isolation can jointly enable a prohibited use. Blocking every sensitive action avoids disclosure but defeats the...
Yun-Bei Zhang, Saiyue Lyu, Janet Wang et al.· 0 citations
SEGRA is introduced, an experience-guided agent for enterprise text-to-Gremlin question answering that integrates intent routing, schema-and taxonomy-grounded query generation, multi-shot decomposition, execution-aware verification, and a curriculum-bootstrapped skill library that reuses verified query patterns.
ReDiTT, a retrieval augmented conditional diffusion transformer that operates in latent space, is introduced, a retrieval augmented conditional diffusion transformer that operates in latent space that stabilizes long horizon forecasting and improves sample diversity.
Saiyue Lyu, Zhi-Tian Zhang, Ruizhi Deng et al.· Trans. Mach. Learn. Res.· 0 citations
SEGRA is introduced, an experience-guided agent for enterprise text-to-Gremlin question answering that integrates intent routing, schema- and taxonomy-grounded query generation, multi-shot decomposition, execution-aware verification, and a curriculum-bootstrapped skill library that reuses verified query patterns.
Saiyue Lyu, Mariam Dundua, Vishaal Kapoor et al.· 0 citations
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