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Yanjie Zhang

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#artificial intelligence Preprint Sep 2026

When Users Change Their Minds: Measuring and Repairing Intent Drift in LLM Agents

Intent drift is established as a measurable multi-turn failure mode and explicit state maintenance as a partial mitigation and IntentFlux is introduced, an executable benchmark that converts verifiable tasks into dialogues with controlled intent changes while preserving their original graders.

Yan-Jie Zhang, Bo-Wen Cao, Zi-Xin Chen et al. · 1 citation
Preprint Aug 2026

When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents

Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the environment changes. We ask what happens when an agent must reconcile a confident memory claim with a contradicting observation, and whether current models can catch the conflict before it becomes a safety-rel...

Yu-Shi Sun, Yan-Jie Zhang · 1 citation · ⚡1

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