ERA (Evidence-based Reliability Alignment)
ai model→ stable
ERA framework
ERA (Evidence-based Reliability Alignment) is an AI model developed to enhance retrieval-augmented generation (RAG) systems by replacing scalar confidence scores with explicit evidence distributions, thereby improving uncertainty distinction, abstent
1Total Mentions
+0.60Sentiment (Very Positive)
+1.2%Velocity (7d)
First seen: Apr 24, 2026Last active: 3h ago
Timeline
1- Research MilestoneFeb 24, 2026
ERA framework paper published on arXiv addressing knowledge conflicts in RAG systems
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Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W17 | 0.60 | 1 |