Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients explores A novel statistical method to efficiently identify flawed items in large-scale AI benchmarks and assessments, reducing manual review effort.. Commercial viability score: 7/10 in AI Evaluation.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisRich Insights from Cheap Signals: Efficient Evaluations via Tensor FactorizationViability: 2.0
- Builds On ThisScalable Text-Embedding-informed Cognitive Diagnosis of Large Language ModelsViability: 4.0
- Builds On ThisMeasuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant FactorsViability: 4.0
- Builds On ThisBrenier Isotonic RegressionViability: 4.0
- Builds On ThisEvaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals