Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
MADDIE: Multi-Agent Drug Discovery Engine
arXiv:2610.16975v3 Announce Type: replace Abstract: Drug discovery remains a resource-intensive and time-consuming process, involving billions of dollars and a decade of development to advance a drug to market. While man…
WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment
arXiv:2610.16979v3 Announce Type: replace Abstract: Generative retrieval (GR) offers a promising paradigm for industrial search by unifying candidate generation within an autoregressive framework. However, effectively le…
MCCL: Measurement-based Collective Communication Library
arXiv:2610.17091v2 Announce Type: replace Abstract: Collective communication is a critical performance bottleneck in large-scale distributed training. Existing libraries and synthesis frameworks compute open-loop schedul…
SFT Leaves a Reproducible Signature in Activation Geometry: Calibrating Post-Training Interpretability Against Run-to-Run Noise
arXiv:2610.17093v2 Announce Type: replace Abstract: A model diff credits post-training with whatever separates a base checkpoint from one post-trained descendant, presuming a rerun would land close by. On the sparse co-a…
Traditional and Recent Approaches for Infrared Small Target Detection : Overview, Challenges and Perspectives (Part 1)
arXiv:2610.18276v2 Announce Type: replace Abstract: Infrared small target detection is often used in different civilian and military applications to detect static or moving targets in scenes like in ground, air and sea s…
AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents
arXiv:2610.18330v2 Announce Type: replace Abstract: Training business automation agents requires executable tasks that connect a natural-language request to an application state and a verifiable end state. Traditional Ru…
Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
arXiv:2610.18690v2 Announce Type: replace Abstract: Image-token compression must reduce computation without hurting the semantics. We introduce Varest, guided by semantic fungibility: tokens within a coherent semantic re…
On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination
arXiv:2610.18727v3 Announce Type: replace Abstract: Natural Language Autoencoders (NLAs) are proposed as oversight tools for language models: an Activation Verbaliser (AV) writes an English explanation of an activation v…
WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions
arXiv:2610.18826v3 Announce Type: replace Abstract: We introduce WorldOracle, a benchmark specifically designed to evaluate action-conditioned world models (ACWMs) against paired real-world executions. Given the same ini…
$\lambda_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
arXiv:2610.18950v2 Announce Type: replace Abstract: Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly. Human demon…
Traffic State Prediction and Control Using a Koopman Operator Framework with Polynomial Observables
arXiv:2610.19442v2 Announce Type: replace Abstract: In this paper, we develop a Koopman operator framework for modeling and control of traffic flow governed by the Lighthill--Whitham--Richards (LWR) conservation law. We …
Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning
arXiv:2610.19802v2 Announce Type: replace Abstract: Negative guidance of diffusion models generates samples that avoid an undesired condition, specified either by reference samples or by a conditional score alongside an …
FoveaVLA: Foveation Actions Replace the Wrist Camera in VLAs
arXiv:2610.20064v2 Announce Type: replace Abstract: We present FoveaVLA, a Vision-Language-Action (VLA) model that replaces the wrist camera with learned foveation actions. Wrist cameras provide close-up detail but restr…
Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation
arXiv:2610.20247v3 Announce Type: replace Abstract: Multilingual models share capacity across languages, so adding languages can hurt performance on existing ones. Mixture-of-experts models expand this capacity with litt…
SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills
arXiv:2610.20926v2 Announce Type: replace Abstract: Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on this, skill evolu…
Does Client Diversity Protect the Lightning Network? Evidence from the 2026 Core Lightning Shutdown
arXiv:2610.20952v2 Announce Type: replace Abstract: Client diversity is often cited as the Lightning Network's defence against a bug in any one implementation, yet LND runs 80% of public nodes (84% counting one operator'…
Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction
arXiv:2610.21449v2 Announce Type: replace Abstract: Large language models (LLMs) can reason over both structured measurements and free-text records, which makes them attractive for emergency department (ED) prediction. H…
OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents
arXiv:2610.21496v2 Announce Type: replace Abstract: Reliable repository-level coding requires agents not only to generate correct code but also to preserve constraints and respond to tool feedback across long interaction…
DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents
arXiv:2610.21561v3 Announce Type: replace Abstract: Large language models (LLMs) deployed as conversational agents are increasingly expected to follow procedural logic. While factual hallucination has received extensive …
LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design
arXiv:2610.21591v2 Announce Type: replace Abstract: Machine learning (ML) for analog IC design is constrained by limited open data and the absence of standardized evaluation: results reported in different papers are typi…