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988 storiesPublic health and medicine worldwide — sourced from WHO News.
How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts
arXiv:2607.14591v1 Announce Type: new Abstract: This study examines feedback in English as a Foreign Language (EFL) writing contexts, focusing on written corrective feedback (WCF). Large language models (LLMs) can provid…
Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction
arXiv:2607.14593v1 Announce Type: new Abstract: As conversational AI systems are designed for repeated use, a central question is how a series of interactions becomes a relationship. We present a longitudinal multimodal …
MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation
arXiv:2607.14595v1 Announce Type: new Abstract: Large-scale video diffusion models (VDMs) deliver strong generation performance, but full fine-tuning for downstream tasks incurs prohibitive computational costs. Existing …
A Deterministic Binary Fingerprinting Framework with Zero-Trained Feature Extraction for Sparse Count Matrices
arXiv:2607.14596v1 Announce Type: new Abstract: Sparse count matrices from single-cell transcriptomes to k-mer profiles and document-term frequencies are conventionally analyzed via PCA-reduced graph clustering or iterat…
Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space
arXiv:2607.14598v1 Announce Type: new Abstract: Image registration is essential in applications such as electronic image stabilization. Scale-Invariant Feature Transform (SIFT), a widely used local keypoint detector and …
A Nonlinear Model Predictive Control Perspective on Gradient-Based Optimization: A New Efficient, Parameter-Free and Provably Stable Algorithm
arXiv:2607.14600v1 Announce Type: new Abstract: This paper discusses some aspects related to gradient-based optimization algorithms with special focus on the requirements associated to their use in the implementation of …
SYNAPSE: A Multi-LLM Orchestrated AI Tutor for Secure Software Development Education with Neurodivergent-First Design
arXiv:2607.14601v1 Announce Type: new Abstract: Developers who maintain real systems must continually recognise and remediate vulnerabilities in existing code, yet this skill is rarely trained directly: secure software d…
Accelerating A/B-Tests with Counterfactual Estimation: Reducing Variance through Policy Overlap
arXiv:2607.14604v1 Announce Type: new Abstract: Online controlled experiments are the gold standard for hypothesis testing in online platforms. Notwithstanding their ubiquity, they are notoriously expensive to run, and i…
Investigating first-language bias in LLM-based automated essay scoring: A cross-prompt evaluation of an open-weight AI-model on TOEFL essays
arXiv:2607.14605v1 Announce Type: new Abstract: This study examines the cross-prompt generalization and first-language (L1) scoring effects of a LoRA-adapted open-weight large language model (Gemma-3-27B-it) applied to a…
An Evidential Reasoning Approach for Aerial Target Classification and Intent Prediction
arXiv:2607.14606v1 Announce Type: new Abstract: Timely classification and intent prediction of aerial targets is crucial for a combat aircraft to make informed tactical decisions. The prevailing approach for aerial targe…
Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms
arXiv:2607.14607v1 Announce Type: new Abstract: Machine learning (ML) models deployed in sensitive domains such as healthcare, law enforcement, and finance must satisfy not only utility requirements but also fairness and…
Representation-Aligned Tactile Grounding for Contact-Rich Robotic Manipulation
arXiv:2607.14609v1 Announce Type: new Abstract: Tactile-enhanced vision-language-action (VLA) policies have been introduced for contact-rich manipulation, where critical interaction states are often hidden from vision. F…
Steering dynamic network centrality via control theory
arXiv:2607.14610v1 Announce Type: new Abstract: Time-evolving networks, or temporal networks, play a crucial role in modeling dynamic interactions across various domains, including biology, social sciences, and informati…
Bad Memory: Evaluating Prompt Injection Risks from Memory in Agentic Systems
arXiv:2607.14611v1 Announce Type: new Abstract: A growing class of agentic systems maintain persistent state across sessions through memory files, behavioral preferences, and knowledge bases. While this makes agents more…
Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis
arXiv:2607.14613v1 Announce Type: new Abstract: Long-tailed label distributions reduce the reliability of deep learning for electrocardiogram (ECG) arrhythmia diagnosis, particularly for clinically important but rare abn…
Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization
arXiv:2607.14614v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, entropy cannot distinguish useful uncertainty from detrimental c…
Gradient-enhanced spline dimensional decomposition for uncertainty quantification with limited training samples
arXiv:2607.14615v1 Announce Type: new Abstract: A spline dimensional decomposition (SDD) surrogate effectively represents high-dimensional engineering responses with localized features and complex nonlinearities in uncer…
SportD: Can VLMs Physically Strategize?
arXiv:2607.14616v1 Announce Type: new Abstract: Vision--language models have become increasingly capable of interpreting visual scenes, but it remains unclear whether they can use information to make strategically effect…
Efficient Pattern Matching for Unordered Term Tree Patterns under Generalized Height-Constrained Bindings
arXiv:2607.14617v1 Announce Type: new Abstract: Unordered trees are useful for modeling hierarchical structures in which the order among siblings is irrelevant. To represent flexible structural patterns in such data, uno…
PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM Inference
arXiv:2607.14618v1 Announce Type: new Abstract: CPUs are the most universal target for on-device LLM inference, but existing low-bit quantization methods offer either coarse operating points or fine-grained mixed precisi…