Author

Heng Yang

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#artificial intelligence Apr 2026

CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies

This work proposes CF-VLA, a coarse-to-fine two-stage formulation that restructures action generation into a coarse initialization step that constructs an action-aware starting point, followed by a single-step local refinement that corrects residual errors.

Fan Du, Feng Yan, Jian-Xiong Wu et al. · arXiv.org · 0 citations

Preprint Aug 2026

LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference

An intrinsic memory method, LiveMem, is introduced, which augments a pretrained full-attention LLM with a memory state that preserves the historical information over the whole lifecycle while the main attention path retains a bounded KV window and establishes state continuity as a distinct and complementary abstraction...

Zhichen Liu, Ruihan Sun, Heng Yang et al. · 1 citation · ⚡1