An unsupervised stage-level diagnostic is developed that localizes silent failures to the responsible operation at 76.2% accuracy and establishes circuit-level signatures as a practical handle for monitoring agent memory and guiding its structural design.
Xutao Mao, Jin-Man Zhao, Gerald Penn et al.· arXiv.org· 1 citation
LLM agents now execute tasks end to end with permission to change real systems and increasingly orchestrate subagents that differ in capability and cost. Prior work treats the choice of subagent as an optimization problem. Yet the orchestrator makes this choice from the identities that subagents display, and an attacke...
Xu-Tao Mao, Rui Qian, Ling-Han Chen et al.· 1 citation
Results show that preserving already-correct work under unsupported accusation is a distinct safety challenge for long-lived agents, and introduces CAVE-Bench, a benchmark of 365 agentic tasks across six domains built around opaque tasks.
Xu-Tao Mao, Rui Qian, Long-Xiang Wang et al.· 0 citations
This work proposes Targeted Anti-obfuscation with Mechanistic Enforcement (TAME), which uses Sparse Autoencoders (SAEs) to combine behavioral feedback with targeted suppression of template-associated activations during RL, providing a path from behavioral monitoring to representation-level oversight for more auditable...
Xu-Tao Mao, Jianing Zhu, Jin-Man Zhao et al.· 0 citations
This work proposes SafeEvolve, which checks each skill when it is written and when a later task retrieves it, and introduces SkillMisevo-Gym, which clears every task session but keeps the skill library, so each of these steps can be checked separately.
This work presents AHA, a falsifiable discovery loop that proposes a vulnerability hypothesis, constructs a falsifier, instantiates a valid attack, executes it in a sandboxed harness, reflects on the trajectory, and promotes confirmed findings into a Vulnerability Concept Graph (VCG), which provides an auditable artifa...
The Personal Agent Sycophancy Benchmark (PASB) is introduced, a 1,600-task benchmark that traces whether a conversational claim is accepted, written into durable agent state, and reused in a later neutral query, and shows that agent sycophancy is fundamentally a state-writing governance problem.
Xutao Mao, Liang Zhao, Leyao Wang et al.· 0 citations
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