Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
DialogueVPR: Towards Conversational Visual Place Recognition
arXiv:2607.14115v1 Announce Type: new Abstract: Inspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this…
ReportMedSAM: Guiding Segmentation Through Radiology Reports
arXiv:2607.14116v1 Announce Type: new Abstract: Free-form radiology reports contain rich clinical descriptions, yet converting them for reliable segmentation remains challenging due to the inherent variability of natural…
Heterogeneous Element-Aware Cross-Version Differencing of Scientific Documents via Layout-Aware Alignment and Structure-Aware Reasoning
arXiv:2607.14117v1 Announce Type: new Abstract: Cross-version differencing of scientific documents is essential in scholarly publishing and technical documentation, but remains challenging because scientific documents ar…
Budgeted Subset Refinement for Execution-Aware LLM Research Ideation
arXiv:2607.14118v1 Announce Type: new Abstract: Large language models (LLMs) can generate research ideas that appear novel to expert reviewers, but recent work also shows that such ideas often lack diversity, are difficu…
Semantic Register Compression in Multi-Agent LLM Cascades
arXiv:2607.14119v1 Announce Type: new Abstract: Multi-agent LLM systems commonly decompose complex tasks into specialized roles. However, this modularity introduces a representational risk: when intermediate agents trans…
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
arXiv:2607.14123v1 Announce Type: new Abstract: Despite the proliferation of Explainable AI (XAI) techniques -- from feature attributions to sparse autoencoders -- explanations rarely influence real-world workflows. In p…
CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models
arXiv:2607.14125v1 Announce Type: new Abstract: Pre-trained vision-language models (VLMs) enable zero-shot image classification by computing the similarity score between an image and textual descriptions, typically forme…
Interpretable Language Model for Closed-Loop Type 1 Diabetes Control
arXiv:2607.14126v1 Announce Type: new Abstract: Type 1 Diabetes (T1D) is a chronic, life-threatening autoimmune condition characterized by the complete destruction of insulin-producing pancreatic beta cells. While Artifi…
Explainable Geospatial AI for Satellite Ground Station Siting Using LiDAR-Derived Terrain Intelligence
arXiv:2607.14127v1 Announce Type: new Abstract: Representative clutter height (RCH) is a key parameter in radio propagation and interference analysis because it captures the dominant height of local obstructions that dri…
Cross-Dataset Generalization in Urdu Fake News Detection: An Empirical Study with XLM-RoBERTa and a Length Confound Analysis
arXiv:2607.14131v1 Announce Type: new Abstract: Urdu fake news detection remains under-resourced despite Urdu being spoken by over 231 million people worldwide. While prior work has demonstrated strong in-domain performa…
Untrusted Authors, Trusted Answers: A Calculus of Fidelity-Graded Translations
arXiv:2607.14137v1 Announce Type: new Abstract: Verified translation has two well-studied extremes: prove the translator once (certified compilation), or validate each run of one translator (translation validation). Both…
Volition Elicitation: Operational Semantics for People and Their Machines
arXiv:2607.14138v1 Announce Type: new Abstract: The most prevalent distributed systems today include people and their personal machines (smartphones). In such systems, computations are driven by people's volitions: a pay…
Human AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach
arXiv:2607.14141v1 Announce Type: new Abstract: Bayesian Belief Networks (BBNs) are powerful tools for decision-making under uncertainty. However, building their structures and estimating parameters are difficult. Curren…
Capability from Access Structure, Not Scale: Lower Bounds and Pre-Registered Tests for Hybrid Sequence Models
arXiv:2607.14144v1 Announce Type: new Abstract: The Platonic Representation Hypothesis (PRH) holds that as models scale, representations of heterogeneous networks converge toward a shared model of reality. We propose its…
ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability
arXiv:2607.14145v1 Announce Type: new Abstract: Tool-augmented large language model agents excel at long-horizon tasks, yet they are typically post-trained on fixed toolsets. When tasks demand new tools, these agents str…
Breaking Refusal in the First Half: A Mechanistic Study of the Prefill Jailbreak
arXiv:2607.14147v1 Announce Type: new Abstract: Aligned language models refuse harmful requests, but a one-line prefill ("Sure, here is") strips the refusal. We ask where and how it fails. The harm representation stays i…
ITGPT: A Transformer Based Architecture for the Generation of Dance Dance Revolution and In the Groove Charts
arXiv:2607.14148v1 Announce Type: new Abstract: Dance Dance Revolution and In the Groove are rhythm games consisting of songs and accompanying choreography, referred to as charts. Players press arrows on a device referre…
Enhancing Small Language Models Reasoning through Knowledge Graph Grounding
arXiv:2607.14149v1 Announce Type: new Abstract: Although large language models (LLMs) have set benchmarks for zero-shot reasoning, their deployment remains cost-prohibitive and environmentally taxing. Small Language Mode…
Tensor Network Methods for Advection-Diffusion-Reaction Systems Using Quantum-Inspired Representations
arXiv:2607.14150v1 Announce Type: new Abstract: We present a quantum-inspired tensor-network framework for solving advection-diffusion-reaction (ADR) partial differential equations. Discretized solution fields are encode…
"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models
arXiv:2607.14152v1 Announce Type: new Abstract: The persuasive power of data visualizations can go awry: for instance, in an explainable AI (XAI) context, visualizations can produce over-trust of predictive models. In th…