Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Conversation Coach: A Voice-enabled AI System that Helps Practice Difficult Workplace Conversations
arXiv:2609.00441v1 Announce Type: new Abstract: Effective manager-employee communication is critical for retaining high performers and developing underperformers, yet training managers in these skills remains costly. Tex…
DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments
arXiv:2609.00442v1 Announce Type: new Abstract: Large language model (LLM) services increasingly process heterogeneous queries with diverse latency, accuracy, and resource requirements. While edge deployment reduces resp…
(V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement
arXiv:2609.00443v1 Announce Type: new Abstract: Language models learn about grammatical number primarily from co-occurrence, and show frequency effects as a result---sometimes taken to indicate that they do not learn abs…
Group Adaptive Clipping Policy Optimization
arXiv:2609.00444v1 Announce Type: new Abstract: Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a fixed importance-sampling (IS) ratio clipping boundary across …
Capability-Gated Language Models: Security Composes, Utility Does Not
arXiv:2609.00445v1 Announce Type: new Abstract: Deployed language model safeguards (safety fine-tuning, filtering, unlearning) vary by principal only outside the model weights: filters are reconfigured, tiers are multipl…
CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning
arXiv:2609.00446v1 Announce Type: new Abstract: Conventional federated learning (FL) relies on parameter averaging, which forces clients to be doubly homogeneous: it demands an identical architecture and degrades under n…
Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT
arXiv:2609.00447v1 Announce Type: new Abstract: Accurate 3D abnormality segmentation in chest CT requires dense spatial supervision, but obtaining expert voxel-level labels is costly. Radiology reports, however, are rout…
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
arXiv:2609.00449v1 Announce Type: new Abstract: Neuroevolution of Augmenting Topologies (NEAT) and its advanced version, Evolvable-Substrate HyperNEAT (ES-HyperNEAT), have shown great potential in developing neural netwo…
HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference
arXiv:2609.00450v1 Announce Type: new Abstract: Block Quantization (BQ) is a promising approach for efficient deployment of large language models (LLMs), enabling low-precision computation with controlled accuracy degrad…
mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers
arXiv:2609.00453v1 Announce Type: new Abstract: Giving an agent a file about a named expert can supply hard-to-find material, produce a recognizable persona, or change what the agent decides. These are different claims. …
Location-Aware Language Models via Secondary Embeddings
arXiv:2609.00454v1 Announce Type: new Abstract: Pretrained transformer-based language models achieve strong performance across a wide range of NLP tasks but remain limited in encoding geo-locational semantics, leading to…
Towards a Belief-Based World Model for LLM Agents
arXiv:2609.00455v1 Announce Type: new Abstract: Large language models (LLMs) are being used as policies for autonomous decision-making and planning in many domains. Despite their strong reasoning capabilities, LLMs strug…
Can LLMs Use Relational Transformer Embeddings?
arXiv:2609.00457v1 Announce Type: new Abstract: Injecting frozen relational-encoder embeddings as soft tokens into a large language model (LLM) is a conceptually appealing fusion strategy: the encoder handles multi-table…
Context Window Failures in Relational Foundation Models
arXiv:2609.00460v1 Announce Type: new Abstract: Recent Relational Deep Learning architectures have been proposed as foundation models for multi-table relational data, yet they impose constrained neighborhood budgets that…
Toppling the Hierarchy in Byte-level Language Modeling
arXiv:2609.00463v1 Announce Type: new Abstract: This work examines recent byte-level models and their failure to perfectly manipulate characters. State-of-the-art byte-level models use a hierarchical structure, starting …
Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective
arXiv:2609.00464v1 Announce Type: new Abstract: Neuro-Symbolic (NeSy) AI has recently emerged as a novel paradigm to enable trustworthy AI, aiming at integrating sub-symbolic neural perception with grounded symbolic reas…
Shape Holomorphy and Sparse Approximation of the Maxwell Electric Field Integral Operator
arXiv:2609.00466v1 Announce Type: new Abstract: Uncertainty quantification for time-harmonic Maxwell scattering by obstacles of uncertain shape needs more than holomorphic dependence of the scattered field: for a boundar…
What Survives the Next Model? Benchmarking LLM-Based Techniques Against Single-Prompts
arXiv:2609.00468v1 Announce Type: new Abstract: The software engineering research community has enthusiastically embraced the integration of Large Language Models (LLMs) into complex techniques to solve a wide variety of…
SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation
arXiv:2609.00469v1 Announce Type: new Abstract: Promptable segmentation foundation models such as SAM3 accept an open-vocabulary text concept and return every instance matching it, but adapting them to a specialized doma…
TRIS: A Tri-Layer Retrieval Integrity Sieve Against Knowledge Poisoning
arXiv:2609.00470v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) grounds large language models in external corpora, but implicit trust in retrieved documents creates a critical attack surface: Poisone…