Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
A new framework for discrete diffusion models explores how tokenization and vocabulary structure influence generative performance.
A new framework for discrete diffusion models explores how tokenization and vocabulary structure influence generative performance.
IMMNet integrates traditional model-based tracking algorithms with neural components to improve the accuracy and interpretability of maneuvering target tracking in 3D environments.
The ExTernD method introduces a post-training factorization technique for large language models that utilizes expanded-rank ternary decomposition to improve quantization efficiency and accuracy.
The GHR-VLM framework combines grounded reasoning with vision-language models to enable zero-shot video analytics for transit systems without requiring task-specific training data.
A new framework enables mobile robots to interpret natural language commands for autonomous navigation using RGB-D perception.
A study evaluating deep learning models for echocardiography analysis reveals that current attribution methods often fail to verify temporal faithfulness in medical imaging predictions.
A new defense mechanism called Traffic-Aware Randomized Smoothing has been proposed to improve the robustness of LLM-based network intrusion detection systems against traffic manipulation.
A study demonstrates that the interaction protocols used in multi-agent debates significantly influence the moral reasoning and judgment outcomes of large language models.
A new evaluation framework called STOCKTAKE aims to distinguish between perception errors and execution failures in LLM agents during long-term decision-making tasks.
A new error-correction method called Experience Memory Graph aims to help LLM agents recover from failures in long-horizon tasks more efficiently than traditional reflection techniques.
DIVE is a new dimensionality reduction technique for language model embeddings that uses self-limiting gradient updates to improve compression efficiency.
This review examines the integration of explainable AI techniques within federated learning architectures to improve transparency in privacy-preserving distributed model training.
A new auditing method uses predicate substitution to test whether large language models genuinely rely on stated premises during chain-of-thought reasoning.
Infineon and LS Electric have signed a non-binding memorandum of understanding to jointly develop next-generation direct current power systems for AI data centers.
CITIC Securities and Optics Valley Financial Holdings have entered a partnership to provide capital market services and investment support for emerging technology companies.
This article discusses the potential financial risks and market implications of including SpaceX in major index funds.
Healthcare compliance company Bluesight has utilized Amazon Bedrock AgentCore to develop and deploy Prism, a unified agentic AI assistant.
Developer Eight Form has withdrawn its proposal to replace a hotel with a data center in El Segundo, California, following public opposition during a planning meeting.
Researchers have developed a contract-based regression verification tool that uses large language models to infer partial contracts, ensuring sound software patch verification without requiring manual specifications.
The SPARK framework profiles and steers the latent reasoning states of large language models to diagnose and correct reasoning failures before final outputs are generated.
FAW Jiefang has delivered customized trucks equipped with Zhitu Technology's L2++ autonomous driving system for logistics operations.
Goldman Sachs reports that the AI boom could trigger a wave of inflation in the US, driven primarily by supply constraints and rising prices for memory chips and semiconductors.
China Rare Earth Group has partnered with Gansu Guangsheng Rare Earth to establish a new joint venture focused on rare earth smelting and new material research.
Chengdu will host the APEC Digital and AI Ministerial Meeting in July 2026, showcasing its digital economy infrastructure and computing capacity.