Paper2Video: Automatic Generation from Scientific Papers Zhu et al.: https://
arxiv.org/abs/2510.05096 #ArtificialIntelligence #DeepLearning #MachineLearning
@ceobillionaire
-
Paper2Video: Automatic Video Generation from Scientific Papers
By
–
-
AI Agents vs Cybersecurity Professionals in Penetration Testing
By
–
Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing Lin et al.: https://
arxiv.org/abs/2512.09882 #ArtificialIntelligence #DeepLearning #MachineLearning -
Mixture-of-Agents Boosts Large Language Model Performance
By
–
Mixture-of-Agents Enhances Large Language Model Capabilities Wang et al.: https://
arxiv.org/abs/2406.04692 #ArtificialIntelligence #DeepLearning #MachineLearning -
DeepCode: Open Agentic Coding System by Li et al.
By
–
DeepCode: Open Agentic Coding Li et al.: https://
arxiv.org/abs/2512.07921 #ArtificialIntelligence #DeepLearning #MachineLearning -
Budget-Aware Tool-Use Enables Effective Agent Scaling
By
–
Budget-Aware Tool-Use Enables Effective Agent Scaling Liu et al.: https://
arxiv.org/abs/2511.17006 #ArtificialIntelligence #DeepLearning #MachineLearning -
Verbalized Sampling: Mitigating Mode Collapse in LLMs
By
–
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity Zhang et al.: https://
arxiv.org/abs/2510.01171 #ArtificialIntelligence #DeepLearning #MachineLearning -
Memory-Efficient Embodied Agents Training with Reinforcement Learning
By
–
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning Gupta et al.: https://
arxiv.org/abs/2510.19732 #ArtificialIntelligence #DeepLearning #MachineLearning -
Autopoietic ASI Agent V0 Superintelligence Breakthrough
By
–
[ V0.ASI.ETH ] Autopoietic ASI Agent (ASI.eth v0) #ASI #ASIFirst #Superintelligence
-
General Agentic Memory Via Deep Research Study
By
–
General Agentic Memory Via Deep Research Yan et al.: https://
arxiv.org/abs/2511.18423 #ArtificialIntelligence #DeepLearning #MachineLearning -
Evolution Strategies at Hyperscale: Deep Learning Optimization
By
–
Evolution Strategies at the Hyperscale Sarkar et al.: https://
arxiv.org/abs/2511.16652 #ArtificialIntelligence #DeepLearning #MachineLearning