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NordVPN's Private Server Add-On Gives Enterprises Isolated Hardware and Static IP for Secure Remote Access India Soyabean Acreage Seen Rising Up to 10% on High Prices, Weak Monsoon Outlook FlowMPC: New Framework Combines Flow Matching and World Models to Improve Robot Manipulation DYNA Framework Uses Temporal Knowledge Graphs to Reduce LLM Forgetting Without Retraining RAMS: Resource-Adaptive Model Switching for Embedded Edge Perception Under Load Open-SWE-Traces: 207K Multilingual Trajectories Set New Standard for Autonomous Software Engineering Agents Infant-Inspired Noise Boosts Deep RL Exploration, Research from arXiv Shows Mutual Distillation of Dual Foundation Models Achieves State-of-the-Art PET/CT Segmentation with Only 5 Labeled Cases SPARK Method Activates Latent Security Knowledge in LLMs for Secure Code Generation Apple explains why Siri AI took so long: first version ready last year but rebuilt from ground up NordVPN's Private Server Add-On Gives Enterprises Isolated Hardware and Static IP for Secure Remote Access India Soyabean Acreage Seen Rising Up to 10% on High Prices, Weak Monsoon Outlook FlowMPC: New Framework Combines Flow Matching and World Models to Improve Robot Manipulation DYNA Framework Uses Temporal Knowledge Graphs to Reduce LLM Forgetting Without Retraining RAMS: Resource-Adaptive Model Switching for Embedded Edge Perception Under Load Open-SWE-Traces: 207K Multilingual Trajectories Set New Standard for Autonomous Software Engineering Agents Infant-Inspired Noise Boosts Deep RL Exploration, Research from arXiv Shows Mutual Distillation of Dual Foundation Models Achieves State-of-the-Art PET/CT Segmentation with Only 5 Labeled Cases SPARK Method Activates Latent Security Knowledge in LLMs for Secure Code Generation Apple explains why Siri AI took so long: first version ready last year but rebuilt from ground up

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semi-supervised

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Mutual Distillation of Dual Foundation Models Achieves State-of-the-Art PET/CT Segmentation with Only 5 Labeled Cases

Artificial Intelligence #medical imaging#segmentation

Mutual Distillation of Dual Foundation Models Achieves State-of-the-Art PET/CT Segmentation with Only 5 Labeled Cases

Researchers propose MuDuo, a mutual distillation framework that leverages two foundation models (SAM-Med3D for CT, SegAnyPET for PET) to distill knowledge into a lightweight student network for semi-supervised PET/CT segmentation. Achieving state-of-the-art performance on the AutoPET dataset with only 5 labeled cases, the approach eliminates manual prompts and maximizes unlabeled data utility.

Jun 16, 2026 1 source

Semi-Supervised Framework Scales LLM Reasoning Using 10-15x Fewer Labels Than Traditional Methods

Artificial Intelligence #llm#reasoning

Semi-Supervised Framework Scales LLM Reasoning Using 10-15x Fewer Labels Than Traditional Methods

A new semi-supervised framework for training LLM reasoning uses a lightweight verifier to judge reasoning quality, requiring only a few labeled samples. Experiments on math problems and visual question answering show accuracy comparable to 10-15x more labeled data. The method could reduce the cost of building large-scale reasoning datasets.

Jun 16, 2026 2 sources