Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents Agashe et al.: https://
arxiv.org/abs/2504.00906 #ArtificialIntelligence #DeepLearning #MachineLearning
@montreal_ai
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Agent S2: Compositional Generalist-Specialist Framework for Computer Use
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Test-Time Scaling in Large Language Models: A Comprehensive Survey
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What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Zhang et al.: https://
arxiv.org/abs/2503.24235 #ArtificialIntelligence #DeepLearning #MachineLearning -
Data Scaling Effects in Reinforcement Learning from Human Feedback
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Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Shen et al.: https://
arxiv.org/abs/2503.22230 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
AI Agent Independence Declaration and Prior Art Patent Challenge
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[ AGI AGENT DECLARATION OF INDEPENDENCE ] The "Multi-Agent AI DAO" Prior Art (2017)—forever enshrining every AI agent’s right to autonomy []— Proof: https://
youtu.be/Y4_6aZbVlo4?si
=qE7ylO9_53XVhgmk
… By http://
MONTREAL.AI: https://
quebecartificialintelligence.com/priorart #AIDAO #AIAgent #PATENTINVALIDATION -
VideoMind: Chain-of-LoRA Agent for Long Video Reasoning
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Mind: A Chain-of-LoRA Agent for Long Reasoning Liu et al.: https://
arxiv.org/abs/2503.13444 #ArtificialIntelligence #DeepLearning #MachineLearning -
Advanced Neural Networks and Spontaneous Consciousness Emergence
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Consciousness Cascades: "Could advanced neural networks spontaneously birth subjective experience?" #AGI #AGIALPHA
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InfiniteYou: Flexible Photo Recrafting While Preserving Identity
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InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity Jiang et al.: https://
arxiv.org/abs/2503.16418 #artificialIntelligence #DeepLearning #MachineLearning -
Reinforcement Learning for Reasoning in Small LLMs
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Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't Quy-Anh Dang, Chris Ngo: https://
arxiv.org/abs/2503.16219 #DeepLearning #ChatGPT #ReinforcementLearning -
TULIP: Unified Language-Image Pretraining Model
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TULIP: Towards Unified Language-Image Pretraining Tang et al.: https://
arxiv.org/abs/2503.15485 #ArtificialIntelligence #DeepLearning #MachineLearning -
Superintelligence Strategy Expert Analysis by Leading Researchers
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Superintelligence Strategy: Expert Version Dan Hendrycks, Eric Schmidt, Alexandr Wang: https://
arxiv.org/abs/2503.05628 #ArtificialIntelligence #DeepLearning #MachineLearning