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9 storiesInnovation
Frozen Hematology AI Models Lose Accuracy and Calibration Under Acquisition Shift, Study Finds
An audit of 15 frozen hematology, pathology and general-vision foundation models reports steep drops in cross-dataset accuracy and confidence calibration when white-blood-cell images come from different acquisition conditions.arxiv.orgInnovation
LiDAR-SAM2 uses a video foundation model to create 4D LiDAR labels without human annotation
A new preprint introduces LiDAR-SAM2, which transfers video segmentation from SAM2 to temporally consistent 4D LiDAR labeling using multi-view projection and spatio-temporal aggregation.arxiv.orgInnovation
SHIFT-LLM reports a training-free way to recover accuracy after pruning LLM layers
A new preprint describes SHIFT-LLM, a post-pruning correction method that uses lightweight linear adapters to approximate the computations removed from large language models. The authors report accuracy gains of up to 15.7 points on Llama-3.1-8B-Instruct across seven zero-shot benchmarks.arxiv.orgInnovation
YOLOEZ offers a no-code workflow for AI-based structural-defect inspection
A new paper introduces YOLOEZ, an open-source graphical tool that combines image labeling, YOLO model training and defect inference in one no-code workflow for structural inspection.arxiv.orgInnovation
A lightweight AI vision system extracts sidewalk paths for low-power micromobility devices
A new arXiv preprint reports a compact monocular-vision pipeline that identifies sidewalk paths and plans routes on CPU hardware. In the authors’ tests, its SegFormer-B0 model reached a hand-annotated intersection-over-union score of 0.946 at 11.7 milliseconds per frame, while image-space midpoint planning produced…arxiv.orgInnovation
PointRL reports improved point-level grounding for vision-language models
An arXiv paper introduces PointRL, a reinforcement-learning method that uses hidden annotation evidence to train vision-language models to point more reliably at targets.arxiv.orgInnovation
VGA-BenchV2 expands evaluation of AI-generated video quality and aesthetics
A new preprint introduces VGA-BenchV2, a benchmark built from 1,016 prompts, more than 60,000 videos and 36,000 human annotations across 12 video-generation models. Its evaluators are also designed to guide reinforcement-learning fine-tuning.arxiv.orgInnovation
Study finds polarimetric imaging and transformers improve AI weld inspection under viewpoint shifts
A new arXiv study finds that AI weld-seam segmentation is highly sensitive to image-acquisition conditions. Polarimetric imaging and transformer architectures performed more reliably than conventional CNNs when welds appeared from previously unseen viewpoints.arxiv.orgInnovation
Paper proposes online method for choosing among LLM APIs under cost and feedback limits
A revised arXiv paper proposes a learning framework for deciding which LLM APIs to query and which generated answer to deploy when API costs vary and only the selected answer’s downstream reward is observed.arxiv.org
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