Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
A Compositional Kernel Model for Feature Learning
arXiv:2509.14158v3 Announce Type: replace Abstract: We study a compositional variant of kernel ridge regression in which the predictor is applied to a coordinate-wise reweighting of the inputs. Formulated as a variationa…
The Bayesian SIAC filter
arXiv:2509.14771v2 Announce Type: replace Abstract: We propose the Bayesian Smoothness-Increasing Accuracy-Conserving (SIAC) filter---a hierarchical Bayesian generalization of the existing deterministic SIAC filter. The …
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
arXiv:2509.25050v2 Announce Type: replace Abstract: Reinforcement Learning (RL) has emerged as a central paradigm for advancing Large Language Models (LLMs), where both pre-training and RL post-training stages are ground…
Designing Compact ILPs via Fast Witness Verification
arXiv:2509.25445v3 Announce Type: replace Abstract: The standard formalization of preprocessing in parameterized complexity is given by kernelization. In this work, we depart from this paradigm and study a different type…
Uncovering the Computational Ingredients of Human-Like Representations in LLMs
arXiv:2510.01030v2 Announce Type: replace Abstract: The human ability to translate diverse perceptual and linguistic inputs into structured behavior has been thought to rest on learning robust representations of concepts…
Sparse Continuation-Based Eigenvalue Tracking for Power System DDAEs
arXiv:2510.03070v3 Announce Type: replace Abstract: In this paper, we formulate a continuation method for tracking eigenvalue trajectories in power system models with time-delayed measurement and control signals. Such de…
A Variational Method for Conformable Fractional Equations Using Rank-One Updates
arXiv:2510.03778v2 Announce Type: replace Abstract: We make a complete variational treatment of rank-one Proper Generalised Decomposition for separable fractional partial differential equations with conformable derivativ…
Performance-Efficiency Tradeoffs in Transformers: An Approximation Theory Perspective
arXiv:2510.03784v2 Announce Type: replace Abstract: Transformers have achieved remarkable successes across a wide range of applications, yet the theoretical foundation of their model efficiency remains underexplored. In …
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
arXiv:2510.03899v3 Announce Type: replace Abstract: Balancing resource efficiency and fairness is critical in networked systems that support modern learning applications. We introduce the \emph{Fair Minimum Labeling} (FM…
Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
arXiv:2510.05291v3 Announce Type: replace Abstract: As Large Language Models (LLMs) develop stronger multilingual capabilities, their sensitivity to culturally diverse entities becomes increasingly important. Prior work …
The Five Safes as a Privacy Context
arXiv:2510.05803v2 Announce Type: replace Abstract: The Five Safes is a framework used by national statistical offices (NSO) for assessing and managing the disclosure risk of data sharing. It can be understood as a speci…
Oops!... I did it again. Analysing and Handling Conclusion (In-)Stability in Socio-Technical Software Engineering
arXiv:2510.06844v3 Announce Type: replace Abstract: Context: Mining software repositories is a popular means to gain insights into a software project's evolution, monitor project health, support decisions and derive best…
One Risk Down, Another Up: Cross-Risk Interactions Induced by LLM Defenses
arXiv:2510.07968v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed in high-stakes settings, where they face diverse risks. Numerous defense strategies have been proposed to mitigat…
TopoAlign: A Framework for Aligning Code to Math via Topological Decomposition
arXiv:2510.11944v2 Announce Type: replace Abstract: Large Language Models (LLMs) excel at both informal and formal (e.g. Lean 4) mathematical reasoning but still struggle with autoformalisation, the task of transforming …
Silence is Golden: Mitigating Hallucinations in Large Audio-Language Models via Layer-Weighted Vector Steering
arXiv:2510.12851v2 Announce Type: replace Abstract: Large Audio-Language Models (LALMs) excel in Audio QA but often suffer from hallucinations ungrounded in the audio. To our knowledge, we are the first to propose applyi…
An Unconditionally Stable Explicit Robin-Robin Partitioned Scheme for Fluid-Structure Interaction
arXiv:2510.13096v2 Announce Type: replace Abstract: We propose a parallelizable partitioned (loosely coupled) scheme for fluid structure interaction (FSI) problems, specifically designed for efficient computation in mode…
One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification
arXiv:2510.13302v4 Announce Type: replace Abstract: Computational stylometry studies writing style through quantitative textual patterns, enabling applications such as authorship attribution, identity linking, and plagia…
Compositional Machine Design as Program Synthesis with LLMs
arXiv:2510.14980v3 Announce Type: replace Abstract: Large language models (LLMs) have shown strong abilities in writing and revising programs, yet many program-synthesis benchmarks still evaluate programs in symbolic or …
HugAgent: A Human Simulation Benchmark for Individual-Level Reasoning
arXiv:2510.15144v4 Announce Type: replace Abstract: Simulating human reasoning in open-ended tasks has long been a central aspiration in AI and cognitive science. While large language models now approximate human respons…
Integrating LLM and Diffusion-Based Agents for Social Simulation
arXiv:2510.16366v2 Announce Type: replace Abstract: Large language models (LLMs) offer strong semantic reasoning capabilities for user modeling, but applying LLM-based simulation to an entire social network is computatio…