Health
1241 storiesPublic health and medicine worldwide — sourced from WHO News.
Compressed Set Representations based on Set Difference
arXiv:2601.23240v2 Announce Type: replace Abstract: We introduce a compressed representation of sets of sets that exploits how similar they are to each other. Our representation supports access, membership, predecessor a…
GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
arXiv:2602.03358v2 Announce Type: replace Abstract: Finding effective prompts for language models (LMs) is critical yet notoriously difficult: the prompt space is combinatorially large, rewards are sparse due to expensiv…
SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures
arXiv:2602.07628v3 Announce Type: replace Abstract: While the shift toward unified foundation models has revolutionized many deep learning domains, sleep medicine remains largely restricted to task-specific models that f…
Are Two LLMs Better Than One? A Student-Teacher Dual-Head LLMs Architecture for Pharmaceutical Content Optimization
arXiv:2602.11957v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used for content creation in regulated domains such as pharmaceuticals, where content must be medical accurate and legally…
Artificial intelligence is creating a new global linguistic hierarchy
arXiv:2602.12018v2 Announce Type: replace Abstract: Artificial intelligence (AI) has the potential to transform healthcare, education, governance and socioeconomic equity, but its benefits remain concentrated in a small …
Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
arXiv:2602.12164v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated exceptional reasoning capabilities, and co-evolving paradigms have shown promising results in domains with verifiable rew…
Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments: An Empirical Study
arXiv:2602.12450v3 Announce Type: replace Abstract: This study aimed to develop and validate a computational framework for modeling therapist--client interaction processes and to examine how therapist behaviors and relat…
Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
arXiv:2602.12628v5 Announce Type: replace Abstract: Simulation offers a scalable and low-cost way to enrich vision-language-action (VLA) training, reducing reliance on expensive real-robot demonstrations. However, most s…
Learning to Drive in New Cities Without Human Demonstrations
arXiv:2602.15891v2 Announce Type: replace Abstract: While autonomous vehicles have achieved reliable performance within specific operating regions, their deployment to new cities remains costly and slow. A key bottleneck…
TabAgent: Distilling LLM Agent Components into Cheap Classifiers
arXiv:2602.16429v3 Announce Type: replace Abstract: Agentic systems, AI architectures that autonomously execute multi-step workflows to achieve complex goals, are often built using repeated large language model (LLM) cal…
Hybrid-PCGC: Hybrid Point Cloud Geometry Compression Bridging Generalization-based Model and Implicit Neural Representation
arXiv:2602.21662v2 Announce Type: replace Abstract: Efficient point cloud geometry compression (PCGC) is essential for 3D sensing applications such as autonomous driving and digital twins. Hybrid methods combine the gene…
Exact and Asymptotically Complete Robust Verifications of Neural Networks via Ising Solvers
arXiv:2603.00408v5 Announce Type: replace Abstract: We present an Ising-compatible framework for formal neural-network robustness verification under bounded input perturbations. For piecewise activations (both continuous…
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
arXiv:2603.02155v2 Announce Type: replace Abstract: Recent studies have shown that reinforcement learning with KL-regularized objectives can enjoy faster rates of convergence or logarithmic regret, in contrast to the cla…
K-Means as the Zero-Temperature Limit of Normalized RBF Assignments: Rates, Trajectories, and Exact Recovery with Entmax
arXiv:2603.04625v2 Announce Type: replace Abstract: K-Means is usually treated as a discrete procedure outside gradient-based learning, whereas normalized radial basis function (RBF) layers are smooth. We make precise th…
Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion
arXiv:2603.06140v3 Announce Type: replace Abstract: Video object insertion is fundamental to video editing, yet existing diffusion methods often produce visually plausible but physically inconsistent results. We present …
Optimistic Policy Regularization: Elite-Statistic Reward Shaping
arXiv:2603.06793v2 Announce Type: replace Abstract: On-policy agents discard trajectories after each update, including rare high-return episodes. We propose Optimistic Policy Regularization (OPR), which turns those episo…
GRAND for Gaussian Intersymbol Interference Channels
arXiv:2603.08325v4 Announce Type: replace Abstract: Channel decoding is challenging in communication channels exhibiting memory effects. In this work, we extend the recently proposed decoding paradigm of guessing random …
Proprioceptive Safe Active Navigation and Exploration for Planetary Environments
arXiv:2603.08905v2 Announce Type: replace Abstract: Deformable granular terrains introduce significant locomotion and immobilization risks in planetary exploration and are difficult to detect via remote sensing (e.g., vi…
An Optimal Control Approach To Transformer Training
arXiv:2603.09571v2 Announce Type: replace Abstract: In this paper, we develop a rigorous optimal control-theoretic approach to Transformer training that respects key structural constraints such as (i) realized-input-inde…
Markovian Generation Chains in Large Language Models
arXiv:2603.11228v2 Announce Type: replace Abstract: The widespread use of large language models (LLMs) raises an important question: how do texts evolve when they are repeatedly processed by LLMs? In this paper, we defin…