Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Do Large Language Models Favour Any Research Topics?
arXiv:2609.00323v1 Announce Type: new Abstract: Large Language Models (LLMs) can estimate the quality of published journal articles, potentially supporting human assessment when evaluations are needed. Whilst there are r…
Latent Mechanisms of Language Control in Multilingual Language Models
arXiv:2609.00325v1 Announce Type: new Abstract: Multilingual large language models can exhibit unintended code-switching -- unnecessarily alternating between languages during generation. We present a comparative study of…
The Curse of Multilinguality in Lexical Normalization
arXiv:2609.00329v1 Announce Type: new Abstract: Lexical normalization rewrites the noisy, non-standard words that fill user-generated text (tmrw, u, gr8) into their standard forms. Because labelled data is scarce for mos…
Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts
arXiv:2609.00330v1 Announce Type: new Abstract: In contact centers, real-time agent-assist tools determine, for each of many predefined topics, whether a live customer utterance is relevant and display a coaching card to…
Scene Graph-based Driving Scenario Extraction for Automotive Egocentric Datasets
arXiv:2609.00333v1 Announce Type: new Abstract: Extracting scenarios from unlabelled real-world sensor data streams is a critical but challenging task in the development process of automated driving systems (ADS). Automa…
Human-AI Co-Interpretation for Responsible AI: A Hermeneutic Perspective
arXiv:2609.00334v1 Announce Type: new Abstract: Across law, education, policy analysis, and public moral argumentation, LLM outputs are being used often for work that requires interpretations to be justified with textual…
Two locked tests of phase-structure features for transition prediction
arXiv:2609.00335v1 Announce Type: new Abstract: A published theoretical account of phase structure in rotary attention was subjected to two pre-specified empirical tests of whether phase-derived features improve predicti…
OreProof: Verifiable Provenance with Limited Disclosure for Critical-Minerals Supply Chains Using Zero-Knowledge Proofs
arXiv:2609.00340v1 Announce Type: new Abstract: Critical-minerals supply chains face a structural tension: regulators and buyers demand verifiable provenance, yet upstream actors are hesitant to disclose supplier identit…
SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning
arXiv:2609.00342v1 Announce Type: new Abstract: Whole-slide images (WSIs) are challenging for vision-language reasoning because diagnostically relevant morphology is sparse, heterogeneous, and distributed across gigapixe…
From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education
arXiv:2609.00344v1 Announce Type: new Abstract: Translation students need to learn both how to use translation technologies and how to judge the choices those technologies make available. This article presents LoopCAT, a…
Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment
arXiv:2609.00345v1 Announce Type: new Abstract: Human mobility is central to urban planning, transportation, public health, and emergency response, yet fine-grained trajectory data are often proprietary, restricted, and …
AniMaster: From Story Texts to Animated Videos via Cinematic Script Generation and Interactive Authoring
arXiv:2609.00346v1 Announce Type: new Abstract: Recent advances in Video Generation Models (VGMs) have demonstrated strong capabilities in producing short video clips. However, it is still challenging for everyday creato…
Detecting Hidden Behaviors in LLMs via Activation-matched Finetuning
arXiv:2609.00351v1 Announce Type: new Abstract: Large language models can hide hidden behaviors that activate only under narrow conditions, such as backdoor triggers, sleeper-agent deployment cues, sandbagging, or topic-…
How Does LGBTQIA+ Identity Affect LLM Behavior? Implications for Requirements Engineering of Mental Health AI Systems
arXiv:2609.00352v1 Announce Type: new Abstract: Large Language Models are now part of healthcare and mental health support systems, raising concerns regarding fairness toward vulnerable populations, including LGBTQIA+ in…
Exploring Quantum Software Testing Across Research and Practice: Emerging Results from a Multivocal Literature Review
arXiv:2609.00354v1 Announce Type: new Abstract: This paper presents preliminary findings from a multivocal literature review investigating how quantum software testing is characterized across academic and practitioner-or…
Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models
arXiv:2609.00355v1 Announce Type: new Abstract: Speculative decoding accelerates generation without changing its output, yet on vision-language models (VLMs) it has been caught in a self-defeating cycle. The drafter stay…
A Stable Aggregation Method for Quantum Federated Learning
arXiv:2609.00356v1 Announce Type: new Abstract: Quantum federated learning (QFL) enables clients to train quantum neural network (QNN) models without sharing private data. We find that aggregation in QFL is unstable unde…
Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers
arXiv:2609.00358v1 Announce Type: new Abstract: Vision Transformers provide strong visual representations but typically rely on slowly updated parameters, limiting their ability to organize newly acquired information acr…
Detoxifying Toxic Communication: A Design Science Approach to Responsible AI
arXiv:2609.00361v1 Announce Type: new Abstract: Toxic language in digital workplaces such as pejoratives, sarcasm, condescension, and subtle incivility can erode trust, morale, and collaboration. Existing moderation tool…
Revisiting Feedback-Driven LLM Code Repair: A Replication and Exploratory Java Extension
arXiv:2609.00362v1 Announce Type: new Abstract: Since the advent of Large Language Models (LLMs), practitioners have increasingly leveraged them to support their software engineering tasks, including automated code repai…