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Harbin Institute of Technology, National Key Laboratory of Smart Farm Technologies and Systems
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Forget monolithic updates: HiEdit's hierarchical RL finds that editing specific knowledge in LLMs is best done by surgically perturbing only the relevant layers, boosting performance and cutting compute by half.
Achieve near-perfect robot grasping (87% success) by giving robots a "second look" – a closed-loop system that compares pre- and post-action states and uses text feedback to correct errors.
Unlock previously inaccessible 3D microvascular insights from 2D ultrasound images with MVis-Fold, enabling more accurate disease diagnosis and monitoring.
Ultrasound-CLIP leverages a new large-scale dataset and diagnostic taxonomy to achieve state-of-the-art performance in ultrasound image-text understanding, demonstrating the power of domain-specific pre-training.
Achieve 8x faster CPU inference for aviation fault diagnosis with less than 3% F1 loss by compressing InceptionTime parameters by 70% – all while retaining interpretability.