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AI Learns to Race: Automated Reward Design for Gran Turismo 7

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Cognition Envelopes: Guarding AI Decisions in Autonomous Search and Rescue

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GLYPH-SR: A New Approach to Super-Resolution for Legible Scene Text

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Why AI Agents Falter in User Interfaces: A Deep Dive into Missing GUI Knowledge

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Unmasking AI-Generated Images: A System for Detection and Explanation

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Enhancing Visual Understanding in AI Models with a Self-Evolving Framework

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New Benchmark Reveals Vision-Language Models Struggle with Subtle Object State Recognition

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VAMOS: A Hierarchical Model for Adaptive and Steerable Robot Navigation

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Structured AI Framework Boosts Autonomous Vehicle Anomaly Detection

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AI’s Multimodal Safety Challenge: New Research Exposes Gaps in Joint Image-Text Understanding

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Optimizing VLM Performance: CARES Selects the Right Image Resolution

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XBENCH: A New Standard for Explaining AI in Chest X-rays

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StarBench: A New Benchmark for AI Agents in Turn-Based RPGs

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SimpleVSF: A New Approach to Trajectory Prediction in Self-Driving Cars

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Optimizing Vision-Language Models: A New Approach to Visual Token Pruning

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FineVision: A Unified Data Resource for Vision-Language Models

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Unifying Vision and Language: Introducing the NEO Model Family

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LabOS: An AI Co-Scientist That Works Alongside Humans in the Lab

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New Benchmark Reveals Gaps in Vision Language Model Understanding Across Diverse Languages

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VisualDAN: A New Image-Based Attack Method Exposes Critical Vulnerabilities in Vision-Language Models

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Optimizing Aerial Vision-Language Services in Low-Altitude Networks

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Uncovering Vision-Language Models’ Struggle with Counting Multiple Objects

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