Cheng Tan

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models

SPARK is introduced, which uses hidden-state response to diagnose whether a model internally enters an effective reasoning state and to guide lightweight test-time steering, and suggests that susceptibility can serve not only as a diagnostic signal for reasoning failures, but also as a practical guide for targeted test-time intervention.