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Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design G-Loss: New Graph-Guided Loss Function Boosts Language Model Fine-Tuning Accuracy FasterPy: New LLM Framework Optimizes Python Code Execution Efficiency Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection for Tool-Using LLM Agents RoTRAG Framework Boosts Harm Detection Accuracy by 40% Using Retrieval-Augmented Generation KILLBENCH: New Benchmark Tests External Kill Switches to Stop Malicious AI Learned Image Compression Framework SPARC Boosts VLA Robot Control Performance in Bandwidth-Limited Settings K-Prism Model Unifies Medical Image Segmentation with Knowledge-Guided Prompt Integration Truckload Market Upswing Prompts Driver Pay Hikes as Regulatory Enforcement Tightens Capacity Study Reveals Patterns of Pre-Trained Deep Learning Model Reuse in Scientific Research Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design G-Loss: New Graph-Guided Loss Function Boosts Language Model Fine-Tuning Accuracy FasterPy: New LLM Framework Optimizes Python Code Execution Efficiency Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection for Tool-Using LLM Agents RoTRAG Framework Boosts Harm Detection Accuracy by 40% Using Retrieval-Augmented Generation KILLBENCH: New Benchmark Tests External Kill Switches to Stop Malicious AI Learned Image Compression Framework SPARC Boosts VLA Robot Control Performance in Bandwidth-Limited Settings K-Prism Model Unifies Medical Image Segmentation with Knowledge-Guided Prompt Integration Truckload Market Upswing Prompts Driver Pay Hikes as Regulatory Enforcement Tightens Capacity Study Reveals Patterns of Pre-Trained Deep Learning Model Reuse in Scientific Research
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knowledge-guided

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K-Prism Model Unifies Medical Image Segmentation with Knowledge-Guided Prompt Integration Technology
Artificial Intelligence #medical image segmentation#knowledge-guided

K-Prism Model Unifies Medical Image Segmentation with Knowledge-Guided Prompt Integration

Researchers present K-Prism, a unified segmentation framework that integrates three knowledge paradigms—semantic priors, in-context examples, and interactive feedback—via a dual-prompt representation and Mixture-of-Experts decoder. Tested on 18 public datasets spanning multiple modalities, K-Prism achieves state-of-the-art performance across semantic, in-context, and interactive segmentation tasks.

Jun 16, 2026 1 source
XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems Technology
Artificial Intelligence #artificial intelligence#medical

XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems

Researchers introduce XMedFusion, a knowledge-guided multimodal perception and reasoning framework for autonomous medical systems. The framework decomposes visual information into coordinated agents, achieving significant improvements in radiology report generation metrics on a public chest radiograph dataset.

Jun 16, 2026 1 source