Tagged articles

data contamination

3 articles · Page 1 of 1
ThinkingAgent
ThinkingAgent
Jun 16, 2026 · Artificial Intelligence

A Systematic Approach to AI Evaluation: From Benchmarks to Real‑World Scenarios

This article outlines a comprehensive methodology for evaluating large language models, covering classic benchmarks, human and multimodal assessments, common pitfalls such as data contamination and benchmark overfitting, and practical guidelines for building a scientific, multi‑layered AI evaluation framework.

AI EvaluationLLM benchmarksLLM-as-judge
0 likes · 27 min read
A Systematic Approach to AI Evaluation: From Benchmarks to Real‑World Scenarios
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 17, 2026 · Artificial Intelligence

80 Million Records Expose AI‑Generated Data Pollution Undermining Diagnostic Reliability

A large‑scale study of over 800,000 synthetic clinical records shows that self‑training loops of AI‑generated medical text, reports, and images cause severe loss of pathological diversity, vocabulary, and diagnostic confidence, prompting the authors to propose mixed‑real‑data training and quality‑aware filtering as mitigations.

AIDiagnostic reliabilityMedical AI
0 likes · 10 min read
80 Million Records Expose AI‑Generated Data Pollution Undermining Diagnostic Reliability