✨GUI-360: A Comprehensive Dataset and Benchmark for Computer-Using Agents

📝 Summary:
GUI-360 is a large dataset and benchmark for computer-using agents, addressing gaps in real-world tasks and unified evaluation. It contains over 1.2M action steps in Windows apps for GUI grounding, screen parsing, and action prediction. Benchmarking reveals significant shortcomings in current mod...

🔹 Publication Date: Published on Nov 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.04307
• PDF: https://arxiv.org/pdf/2511.04307

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#AI #ComputerAgents #GUIAgents #Dataset #Benchmark

✨ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning

📝 Summary:
ATLAS is a new, high-difficulty, multidisciplinary benchmark for LLMs, featuring 800 original problems across seven scientific fields. It addresses current benchmark limitations with complex, open-ended answers and aims to differentiate advanced scientific reasoning, serving as a ruler for AGI pr...

🔹 Publication Date: Published on Nov 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.14366
• PDF: https://arxiv.org/pdf/2511.14366

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#LLM #AGI #AIResearch #ScientificReasoning #Benchmark

✨UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Edits

📝 Summary:
This paper tackles image editing model performance gaps due to data scarcity by introducing UnicEdit-10M, a 10M-scale high-quality dataset from a lightweight verified pipeline. It also proposes UnicBench, a new benchmark with novel metrics to diagnose reasoning limitations in models.

🔹 Publication Date: Published on Dec 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02790
• PDF: https://arxiv.org/pdf/2512.02790

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#ImageEditing #AI #Dataset #Benchmark #ComputerVision

✨OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation

📝 Summary:
OmniSafeBench-MM is a unified toolbox for evaluating multi-modal jailbreak attacks and defenses in MLLMs. It integrates various attacks, defense strategies, and a diverse dataset to provide a comprehensive, standardized, and reproducible platform for research.

🔹 Publication Date: Published on Dec 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.06589
• PDF: https://arxiv.org/pdf/2512.06589

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#MLLMs #AISafety #AIsecurity #Benchmark #DeepLearning