Motif-Video-2B — Benchmarks, Pricing & Trends | Databubble - Databubble

Motif-Video-2B — Benchmarks, Pricing & Trends | Databubble - Databubble

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Consequentialist Objectives and Catastrophe6h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms6h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation6h◆A Probabilistic Framework for Hierarchical Goal Recognition6h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language6h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology6h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem6h◆Learning from Natural Language Feedback for Personalized Question Answering6h◆TS-Arena -- A Live Forecast Pre-Registration Platform6h◆Report for NSF Workshop on AI for Electronic Design Automation6h◆Initial results of the Digital Consciousness Model6h◆Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem6h◆Sensory-Aware Sequential Recommendation via Review-Distilled Representations6h◆Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation6h◆When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education6h◆SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention6h◆EuropeMedQA Study Protocol: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation6h◆Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning6h◆VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation6h◆When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation6h◆Consequentialist Objectives and Catastrophe6h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms6h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation6h◆A Probabilistic Framework for Hierarchical Goal Recognition6h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language6h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology6h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem6h◆Learning from Natural Language Feedback for Personalized Question Answering6h◆TS-Arena -- A Live Forecast Pre-Registration Platform6h◆Report for NSF Workshop on AI for Electronic Design Automation6h◆Initial results of the Digital Consciousness Model6h◆Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem6h◆Sensory-Aware Sequential Recommendation via Review-Distilled Representations6h◆Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation6h◆When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education6h◆SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention6h◆EuropeMedQA Study Protocol: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation6h◆Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning6h◆VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation6h◆When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation6h◆