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988 storiesPublic health and medicine worldwide — sourced from WHO News.
ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
arXiv:2607.14622v1 Announce Type: new Abstract: Low-bit GEMM is increasingly central to efficient ML inference, yet very-low-bit execution remains a poor fit for conventional CPUs. Practical deployment spans fragmented r…
Routing Ceilings Are Domain-Independent: Structural Prior Injection in Code Security Vulnerability Detection
arXiv:2607.14628v1 Announce Type: new Abstract: Large language models (LLMs) exhibit a well-documented gap between latent capability and consistent activation: the router hypothesis posits that models possess the knowled…
Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models
arXiv:2607.14630v1 Announce Type: new Abstract: Layer-wise post-training quantization of large language models minimizes each layer's reconstruction error in isolation, allowing quantization errors to accumulate across d…
Knowing You at First Glance: Inferring Apparent Personality from Faces
arXiv:2607.14631v1 Announce Type: new Abstract: Inferring apparent personality from facial images is important in social scenarios for embodied agents in human-robot interaction. Unlike inferring intrinsic personality tr…
Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action Models
arXiv:2607.14635v1 Announce Type: new Abstract: Action supervision in vision-language-action (VLA) models is often treated as a downstream objective for learning action prediction. In this paper, we study it instead as a…
Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling
arXiv:2607.14639v1 Announce Type: new Abstract: Image-to-Point Cloud Registration (I2P) is essential for integrating camera and LiDAR in perception and autonomous systems, yet the modality gap between images and point cl…
TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation
arXiv:2607.14640v1 Announce Type: new Abstract: Battery health estimation is fundamental for battery management in battery-powered systems, where inaccurate health states may affect control, maintenance, and service life…
Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI Coordination
arXiv:2607.14641v1 Announce Type: new Abstract: Abductive reasoning operates in two directions. The synthetic mode builds explanations from available hypotheses; the analytic mode, conversely, identifies the latent facto…
MCPEvol-Bench: Benchmarking LLM Agent Performance Across Dynamic Evolutions of MCP Servers
arXiv:2607.14642v1 Announce Type: new Abstract: As Model Context Protocol (MCP) servers emerge as the core infrastructure for connecting LLMs with external tools, existing benchmarks leverage real-world MCP servers to ev…
NavCMPO: Critic-Guided MeanFlow Policy Optimization for Adaptive Navigation
arXiv:2607.14643v1 Announce Type: new Abstract: End-to-end diffusion-based policies have demonstrated strong performance in mapless visual navigation, but their iterative denoising process introduces substantial inferenc…
Semi-Streaming Matching in a Single Pass I: A New Framework for Lower Bounds via Blueprints
arXiv:2607.14644v1 Announce Type: new Abstract: In the semi-streaming model, we have an $n$-vertex graph $G=(V,E)$ whose edges arrive in an arbitrary order in a stream. The goal is to make one or a few passes over the st…
Autoregressive Modeling of Film with Applications in Video Montage
arXiv:2607.14645v1 Announce Type: new Abstract: This work introduces FilmGPT, an autoregressive transformer designed to address the challenge of video montage--turning a collection of raw, "unwatchable" footage into cohe…
D-cut: Adaptive Verification Depth Pruning for Batched Speculative Decoding
arXiv:2607.14647v1 Announce Type: new Abstract: Speculative decoding accelerates large language model (LLM) inference without compromising output quality. Recent parallel drafting methods further improve single-request p…
MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
arXiv:2607.14651v1 Announce Type: new Abstract: Persistent external memory enhances agent continuity but introduces persistent security vulnerabilities: adversarial content can be injected via standard interaction channe…
Trajectory-Aware Flow Matching for Topology Optimisation
arXiv:2607.14652v1 Announce Type: new Abstract: Topology optimisation (TO) often requires repeated finite element analysis and sensitivity-based material updates, which can be costly when multiple candidate designs are n…
Spectral Dual Fitting for $k$-Means
arXiv:2607.14654v1 Announce Type: new Abstract: We give a new dual fitting algorithm which gives improved approximation ratios of $3+\ln 2 + \epsilon\ (\approx 3.694)$ and $4.9+\epsilon$ for $k$-Means in (high-dimensiona…
Dendrite: A Real-Time Python Application for Online Brain-Computer Interface Research and Development
arXiv:2607.14655v1 Announce Type: new Abstract: Online brain-computer interface research requires software that can acquire multimodal physiological data, train and update decoders, run live inference, and preserve the f…
Semi-Streaming Matching in a Single Pass II: Greedy is Optimal
arXiv:2607.14656v1 Announce Type: new Abstract: We prove that no single-pass semi-streaming algorithm (deterministic or randomized) can achieve a better-than-half approximation to the maximum matching problem. This impli…
Rethinking Issue Resolution for AI/ML Systems
arXiv:2607.14657v1 Announce Type: new Abstract: We advocate for AI/ML issue resolution frameworks tailored to maintenance workflows and the nature of modern AI/ML systems. Existing issue resolution frameworks largely eme…
TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning
arXiv:2607.14658v1 Announce Type: new Abstract: While Multimodal Large Language Models (MLLMs) excel in general tasks, rigorous scientific reasoning remains challenging due to the limitations of monolithic, linear planni…