Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering
arXiv:2609.00761v1 Announce Type: new Abstract: Academic question answering requires reasoning over heterogeneous scholarly graphs, where queries range from simple attribute lookups to multi-hop inference across author--…
Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation
arXiv:2609.00762v1 Announce Type: new Abstract: Parameter-efficient fine-tuning is usually framed as a question of how many parameters to update. Under a severe trainable-state budget, however, where those coefficients a…
Automated Tree Knowledge Graph Construction using Ontology Expansion and Retrieval from Vietnamese History Textbooks
arXiv:2609.00763v1 Announce Type: new Abstract: Hierarchical Knowledge graph (KG)-based retrieval augmented generation (RAG) has emerged as a powerful approach for supporting large language models with structured knowled…
Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures
arXiv:2609.00764v1 Announce Type: new Abstract: Neural networks are increasingly employed to identify both well-defined and ambiguous concepts, yet output-level metrics reveal little about how those concepts are represen…
Perceptible or Not? Diagnosing Passive Fingerprints for Speech Deepfake Attribution
arXiv:2609.00765v1 Announce Type: new Abstract: Passive fingerprints (intrinsic traces naturally left by generators) have been shown to enable attribution in speech deepfake detection, yet their persistence, reproducibil…
DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory
arXiv:2609.00768v1 Announce Type: new Abstract: Self-play is an effective paradigm for language-model self-evolution, but without guidance, solver performance can plateau or decline across rounds. Unguided methods steer …
A Compact Robotic Finger with 2-DoF MCP Joint Embedding DoF-Selective Passive Continuously Variable Transmission for Wide Force-Speed Operating Range
arXiv:2609.00769v1 Announce Type: new Abstract: This letter presents a compact two-degree-of-freedom (DoF) robotic finger with a flexion-selective passive continuously variable transmission (CVT) to achieve a wide force-…
Non-Prehensile Throwing: A Reinforcement Learning Perspective
arXiv:2609.00771v1 Announce Type: new Abstract: Robotic throwing enables fast object transport and extends a robot's reachable workspace beyond traditional pick-and-place. While prehensile (grasp-based) throwing works we…
VOIM: Training-Free Open-Vocabulary 3D Instance Mapping for RGB-D and Monocular SLAM
arXiv:2609.00775v1 Announce Type: new Abstract: We present Voxel-Grounded Online Instance Manager (VOIM), a training-free voxel-grounded instance manager that builds open-vocabulary 3D instance maps from RGB-D or from mo…
Solaris: Towards Interfaces That Are Generated, Not Coded
arXiv:2609.00776v1 Announce Type: new Abstract: Digital interfaces are traditionally implemented through intermediate representations such as code, requiring their appearance and behavior to be specified in advance. We i…
Coding for Multiple Reverse-Complement and Palindromic Duplications
arXiv:2609.00779v1 Announce Type: new Abstract: Reverse-complement (RC) and palindromic (PAL) duplications copy a length-$k$ block, reverse the copy, and insert it next to the original block; an RC duplication also compl…
When Features Become Instances: Inverted Contrastive Learning for Unsupervised Feature Selection
arXiv:2609.00782v1 Announce Type: new Abstract: Unsupervised feature selection seeks a compact subset of informative features without access to class labels, making feature utility difficult to define. Existing UFS metho…
Efficient discovery of unique column combinations on disk-resident data with limited memory
arXiv:2609.00783v1 Announce Type: new Abstract: The discovery of unique column combinations (UCCs) is a core task in data profiling, describing the key constraints of a table. The existing algorithms cannot deal with lar…
Fast computation and convergence analysis of the infinite-product representation of the Schottky--Klein prime function
arXiv:2609.00785v1 Announce Type: new Abstract: The Schottky--Klein prime function is a standard tool for boundary-value problems on multiply connected circular domains. Because this function is represented as an infinit…
MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC
arXiv:2609.00786v1 Announce Type: new Abstract: Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DNN) and reconstructing …
StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability?
arXiv:2609.00787v1 Announce Type: new Abstract: Humans need to study only a handful of well-written textbooks to master a discipline and attempt its hardest problems. We argue that an ideal self-evolution method should s…
Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain
arXiv:2609.00788v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have extended the capability of large language models (LLMs) to process more contextual multimodal information, showing remarkable …
Subspace Levenberg Marquardt Algorithms in Training Neural Networks
arXiv:2609.00789v1 Announce Type: new Abstract: The Levenberg-Marquardt (LM) algorithm is a well-known second-order method for rapid convergence and strong robustness when training small- to medium-sized neural networks …
RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language Models
arXiv:2609.00790v1 Announce Type: new Abstract: Reliable refusal behavior requires Large Language Models (LLMs) to reject harmful prompts with only answering benign ones. Incorrect refusal behavior can either expose user…
Instella-MoE Technical Report
arXiv:2609.00791v1 Announce Type: new Abstract: In this work, we introduce Instella-MoE, a fully open Mixture-of-Experts (MoE) language model with 16 billion total parameters and 2.8 billion active parameters per token, …