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20 matches for “world models”
PhysicalarXiv:2605.00412v1 Announce Type: new Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and model-based reinforcement learning. However,…
cs.AI updates on arXiv.org·May 5
PhysicalThis paper reframes world models as a latent-state design problem under sufficiency constraints, organizing methods by what the state is meant to preserve and support. That lens should help robotics and physical-AI…
cs.AI updates on arXiv.org·May 6
AgenticMedicare’s new ACCESS payment model creates a reimbursement path for AI agents that monitor patients between visits and coordinate follow-up care. For builders, the significance is less the policy headline than the fact…
AI News & Artificial Intelligence | TechCrunch·May 13
GenAIarXiv:2605.06897v1 Announce Type: new Abstract: The rise of Internet of Things (IoT) devices in the physical world necessitates voice-based interfaces capable of handling complex user experiences. While modern Large…
cs.CL updates on arXiv.org·May 12
IndustryarXiv:2605.00468v1 Announce Type: new Abstract: Plain Language Summaries (PLS) aim to make research accessible to lay readers, but they are typically written in a one-size-fits-all style that ignores differences in…
cs.CL updates on arXiv.org·May 4
IndustryarXiv:2605.00436v1 Announce Type: new Abstract: Concerns with the safety and reliability of applying large-language models (LLMs) in unpredictable real-world applications motivate this study, which examines how task…
cs.CL updates on arXiv.org·May 4
GenAIarXiv:2605.04576v1 Announce Type: new Abstract: This paper presents the first benchmark for the task of automatic part-of-speech (POS) tagging for the Tajik language. Despite the existence of multilingual language…
cs.CL updates on arXiv.org·May 7
GenAIarXiv:2605.00706v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied in financial scenarios. However, they may produce harmful outputs, including facilitating illegal activities or…
cs.CL updates on arXiv.org·May 4
GenAIarXiv:2605.08197v1 Announce Type: new Abstract: Most causal benchmarks for language models score local answers or graph structure. We introduce ReplaySCM, a 1,300 item benchmark for executable causal mechanism induction…
cs.LG updates on arXiv.org·May 12
IndustryarXiv:2605.00011v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way. While substantial research attention has…
cs.AI updates on arXiv.org·May 5
GenAIarXiv:2605.08776v1 Announce Type: new Abstract: Reasoning-centric large language models (LLMs) achieve strong performance by generating intermediate reasoning trajectories, but often incur excessive token usage and high…
cs.AI updates on arXiv.org·May 12
IndustryWorld-R1 applies reinforcement learning to video generation using 3D and vision-language feedback, aiming to improve spatial consistency without changing the base model architecture. It’s a useful signal for teams…
TLDR AI Feed·Apr 30
edge aiThis event is designed for engineers and developers who want to go deep into the tools, architecture, and MLOps workflows that can help you take your ideas and turn them into real-world solutions. Don't miss these…
Tavily · Edge Ai
GenAIarXiv:2605.07201v1 Announce Type: new Abstract: This paper describes our system for the EEUCA 2026 Shared Task on Understanding Toxic Behavior in Gaming Communities. The task involves classifying World of Tanks chat…
cs.CL updates on arXiv.org·May 12
InfraarXiv:2605.05499v1 Announce Type: new Abstract: The widespread adoption of camera-equipped mobile devices and wearables has enabled convenient capture of meal images, making food recognition a key component for real…
cs.AI updates on arXiv.org·May 9
AgenticarXiv:2605.08670v1 Announce Type: new Abstract: Large language model (LLM) powered AI agents have emerged as a promising paradigm for autonomous problem-solving, yet they continue to struggle with complex, multi-step…
cs.AI updates on arXiv.org·May 12
AgenticThis paper compares common test-time scaling strategies for language models through a compute-efficiency lens, including self-consistency, self-refinement, multi-agent debate, and mixture-of-agents. It is useful for…
cs.AI updates on arXiv.org·May 6
GenAIGR-Ben introduces a benchmark for evaluating process reward models beyond math-heavy tasks, targeting general reasoning and decision-making failures in LLM intermediate steps. It matters for teams building test-time…
cs.AI updates on arXiv.org·May 6
GenAIarXiv:2605.07051v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown good performance on various science educational benchmarks, demonstrating their potential for use in science and mathematics…
cs.CL updates on arXiv.org·May 12
GenAIarXiv:2605.05476v1 Announce Type: new Abstract: Knowledge graphs automatically constructed from text are increasingly used in real-world applications. However, their inherent noise, fragmentation, and semantic…
cs.LG updates on arXiv.org·May 8