The Coverage Gap:
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
The Coverage Gap: Chile's Cyber Disclosure Framework versus the USA, EU and UK
Announce Type: new Abstract: We introduce the Coverage Gap as a measurable distance between the observable public exposure of critical-infrastructure operators and their declared capability to coordinate vulnerability disclosure. We instantiate it against the 915 Chilean Operadores de Importancia Vital (OIVs -- Operators of Vital Importance) designated by the National Cybersecurity Agency (ANCI) under Ley 21.663 (Resolucion Exenta No. 87, 16 December 2025). Using a passive-only, OSINT-based...
What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
Announce Type: new Abstract: Driving vision-language models (VLMs) must accurately understand scenes across diverse conditions defined by Operational Design Domains (ODDs), yet verification remains sparse: many slices are missing, making empirical failure rates unreliable. We propose SliceScorer, a deterministic scoring rule for missing-slice recommendation that combines (i) an exposure-based coverage prior to prioritize rare, under-tested regions, and (ii) a neighbor-failure prior that...
What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
Announce Type: replace Abstract: Driving vision-language models (VLMs) must accurately understand scenes across diverse conditions defined by Operational Design Domains (ODDs), yet verification remains sparse: many slices are missing, making empirical failure rates unreliable. We propose SliceScorer, a deterministic scoring rule for missing-slice recommendation that combines (i) an exposure-based coverage prior to prioritize rare, under-tested regions, and (ii) a neighbor-failure prior that...
Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
arXiv:2511.05613v2 Announce Type: replace Abstract: Foundation models are increasingly central to high-stakes AI systems, and governance frameworks now depend on evaluations to assess their risks and capabilities. Although general capability evaluations are widespread, social impact assessments covering bias, fairness, privacy, environmental costs, and labor remain uneven. To characterize this landscape, we conduct the first comprehensive analysis of social impact evaluation reporting,...
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
arXiv:2512.20638v2 Announce Type: replace Abstract: The evaluation of large language models relies heavily on standardized benchmarks. These benchmarks provide useful aggregated metrics, but can obscure (i) particular sub-areas where the models are weak ("model gaps") and (ii) imbalanced coverage in the benchmarks themselves ("benchmark gaps"). To automatically uncover both types of gaps, we propose a simple new method using concept activations from sparse autoencoders, to identify...
Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition
arXiv:2604.15959v2 Announce Type: replace Abstract: Multi-objective Bayesian optimization (MOBO) provides a principled framework for optimizing multiple expensive black-box functions. However, existing MOBO methods often struggle with coverage, scalability, and handling constraints and preferences. In this work we propose STAGE-BO, Sequential Targeting Adaptive Gap-Filling $\varepsilon$-Constraint Bayesian Optimization: by analyzing the coverage of the surrogate Pareto front, our method...
Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
new Abstract: Despite high accuracy, Vision Transformer (ViT) predictions can be driven by spurious cues, raising the need to understand their inner workings before safe deployment. Sparse autoencoders (SAEs) provide a promising lens for decomposing model representations into human-interpretable concepts, yet adapting SAE-based interpretation to ViTs remains challenging due to limited control over concept coverage and subjective, non-scalable feature interpretation. To fill the gaps,...
6 Best Prepaid Phone Plans (2026): Tello, Boost, Google Fi, More
The Best Prepaid Phone Plans Featured in this article Prepaid cellular service is a type of service plan where you pay the cellular company in advance for access to its network. Unlike “postpaid” subscription plans, which often include a contract for service over a set period of months or years, prepaid plans don’t tie you down. You pay in advance every month, and you’re free to leave at any time.
CritLens: Visual Analytics for Criteria Discovery in Review-Based Decision Making
Announce Type: new Abstract: We present CritLens, a visual analytics system that helps users build personalized multi-criteria decision models from review text. In everyday decisions -- choosing equipment, hotels, or restaurants -- evaluation criteria are either preset by platforms or generated by LLMs, leaving users unable to discover, adjust, or verify them against the underlying evidence. This is problematic because many preferences are latent: they surface only upon encountering specific...
Bringing Up DeepSeek-V4-Flash on AMD MI300X
Bringing up DeepSeek-V4-Flash on AMD MI300X At Doubleword we are building an inference cloud designed for volume. To do that we have to reckon with the enveloping compute shortage. AMD’s MI300X launched in December 2023At AMD’s “Advancing AI” event, 6 December 2023.