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Yingqiao Wang

2 accepted papers

2026

Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering

ICML 2026poster

Large language models (LLMs) can be controlled at inference time through prompts (in-context learning) and internal activations (activation steering). Different accounts have been proposed to explain these methods, yet their common goal of controlling model behavior raises the question of whether th…

Cited by 0SourceScholar
2026

STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction

ICML 2026poster

Diffusion policies have recently been as a powerful paradigm for visuomotor control in robotic manipulation due to their ability to model the distribution of action sequences and capture multimodality. However, iterative denoising leads to substantial inference latency, limiting control frequency in…

Cited by 0SourceScholar