Search Results for "automated essay scoring"

The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality.

...The platform boasts built-in support for multiple media acquisition paths (including torrent and Usenet indexers, streaming fallback mechanisms, and metadata discovery), smart quality and format scoring, and automated subtitle fetching, all while feeding results to compatible players and media servers.

...It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity, coherence, or task-specific metrics), and visualization helpers to make comparisons interpretable. This approach is useful for model selection, prompt engineering, and benchmarking new checkpoints against baseline models under reproducible conditions. By turning ad-hoc tests into tracked experiments, StabilityMatrix reduces bias, surfaces subtle regressions, and accelerates iteration when tuning generative systems.

reCAPTCHA is Google’s human-verification system that helps websites distinguish real users from automated abuse while keeping friction low for legitimate traffic. The project bundles client and server examples, language-specific helpers, and documentation patterns for integrating reCAPTCHA v2 and v3 flows into web forms and APIs. Its design philosophy is “risk-based”: most users pass silently based on behavioral signals, while higher-risk interactions may be challenged with an image,...