Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch
arXiv:2609.00941v1 Announce Type: new Abstract: Combining learned policies with model predictive control can leverage learned task priors while retaining online adaptation to new objectives and constraints, but performan…
From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding
arXiv:2609.00948v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated strong performance in visual question answering with natural images. However, they continue to struggle with scientific diag…
Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling
arXiv:2609.00949v1 Announce Type: new Abstract: Multi-turn tool calling is a core evaluation scenario for large language model (LLM) agents. On public tool-calling benchmarks, open-weight models now approach or even surp…
HitMem: Hierarchical Temporal 3D Memory with Multi-Modal Context-Aware Retrieval for Dynamic Environments
arXiv:2609.00950v1 Announce Type: new Abstract: Executing long-term tasks in dynamic environments requires embodied agents to maintain robust and adaptive 3D scene representations. However, most existing 3D memory framew…
CERF: Communication-Efficient and Retraining-Free Collaborative Perception
arXiv:2609.00951v1 Announce Type: new Abstract: Collaborative perception shares information among multiple agents to obtain a comprehensive scene representation, enhancing the perceptual capability of individual agents. …
Influence of Logging Frameworks on Bind9
arXiv:2609.00954v1 Announce Type: new Abstract: Host-based Intrusion Prevention Systems (IPS) rely on application logs to detect and block malicious activity. However, on modern high-speed networks the logging subsystem …
ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware
arXiv:2609.00955v1 Announce Type: new Abstract: Diffusion models achieve strong image generation quality but incur high iterative denoising costs. Analog compute-in-memory (CIM) can accelerate matrix-vector multiplicatio…
PredErase: Training-Free Object-and-Effect Removal with Predictive Latent Guidance
arXiv:2609.00956v1 Announce Type: new Abstract: Removing an object is not the same as filling its mask. Cast shadows and contact shading usually lie outside the user-provided instance mask M_obj, so a frozen Fill model t…
PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian
arXiv:2609.00958v1 Announce Type: new Abstract: We target practical anonymization of Persian customer chats by training a compact NER model from LLM-labeled supervision and selecting the best labeler for deployment. We c…
Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA
arXiv:2609.00959v1 Announce Type: new Abstract: Mixed-format medical visual question answering (VQA) requires stable option selection and machine-readable free-text output. The two formats fail differently: multiple-choi…
Conditional Flow Matching for Cross-Field MRI Harmonisation
arXiv:2609.00960v1 Announce Type: new Abstract: Magnetic resonance images of the same subject look markedly different across field strengths, which complicates the comparison and pooling of data across sites. We address …
Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance
arXiv:2609.00961v1 Announce Type: new Abstract: Conversational agents like chatbots and voice assistants are trained to understand and respond to user intents. On encountering an utterance with an intent different from t…
ABSE-NET: A Lightweight Neural Model for Active Binaural Speech Enhancement in Open-Fit Hearing Aids
arXiv:2609.00966v1 Announce Type: new Abstract: Open-fit hearing aids have attracted growing attention due to their superior wearing comfort. However, the open-fit design inevitably causes acoustic leakage into the ear c…
CoBRA: Learning Tool-Use Boundaries via Counterfactual Margins
arXiv:2609.00967v1 Announce Type: new Abstract: As large language models increasingly act through external tools, deciding when to call a tool has become a central problem alongside deciding how to use it. Unnecessary to…
ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation
arXiv:2609.00968v1 Announce Type: new Abstract: SAR-to-EO image translation aims to generate electro-optical (EO) imagery from synthetic aperture radar (SAR) observations. Existing latent diffusion approaches typically i…
The zbMATH Open Knowledge Graph: Tracing Centuries of Mathematical Research
arXiv:2609.00969v1 Announce Type: new Abstract: We present the zbMATH Open Knowledge Graph, a large-scale RDF knowledge graph (KG) covering more than 250 years of mathematical scholarship. Unlike existing scholarly knowl…
Disclosure-Gated User Simulation for Companion-Agent Evaluation
arXiv:2609.00982v1 Announce Type: new Abstract: Using a large language model to play the user is now standard in scalable evaluation. It has a repeatedly diagnosed failure: the simulated user is excessively cooperative, …
Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints
arXiv:2609.00984v1 Announce Type: new Abstract: Virtual staining aims to computationally generate target-stained histopathological images while reducing the cost and time associated with conventional staining procedures.…
TGR: Advancing Industrial Recommendation from Generative-Paradigm Ranking toward Unified Generation and Reasoning
arXiv:2609.00986v1 Announce Type: new Abstract: Industrial recommender systems typically rely on cascaded retrieval, pre-ranking, ranking, and reranking stages, whose separately optimized models limit scaling, fragment d…
On the Human and Computer Alignment of Attribute-Based Music Matches
arXiv:2609.00987v1 Announce Type: new Abstract: Recent advances in generative AI are raising ethical concerns regarding the originality of generated content and the potential replication of training data, with further im…