arXiv:2608.05685v2 Announce Type: replace Abstract: Most public benchmarks for machine-condition monitoring come from test rigs, where faults are induced…
Category: AI
The Human-AI Substitution Principle: When will you be replaced by AI in your organization?
arXiv:2607.20781v2 Announce Type: replace Abstract: Artificial Intelligence (AI) is rapidly transforming organizations, raising a fundamental…
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
arXiv:2607.00407v2 Announce Type: replace Abstract: Slide design requires personalizing both deck themes and page layouts. Yet, current AI agent-based…
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
arXiv:2607.11175v2 Announce Type: replace Abstract: The growing ability of large language models and vision-language models to jointly interpret and…
MindTopo reveals VLMs’ spatial reasoning abilities
A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to…
SportD: How do VLMs physically strategize?
arXiv:2607.14616v3 Announce Type: replace Abstract: Vision-language models (VLMs) can describe a scene, but can they act well within one? We study whether…
Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for…
Teaching agentic AI to learn expert reasoning for rare disease diagnosis
arXiv:2606.16149v3 Announce Type: replace Abstract: Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer;…
Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
arXiv:2605.29055v2 Announce Type: replace Abstract: This paper describes an approach to hallucination detection and mitigation using a HOPE-inspired…
Towards Human Motion World Models via Executable Behaviour Representations
arXiv:2604.18064v2 Announce Type: replace Abstract: Human motion world models should capture motion’s intentionality by being executable: adaptable to…