Large Discovery Models
ai model→ stable
LDM
Large Discovery Models is an AI framework combining an LLM for candidate generation with a Bayesian surrogate for uncertainty scoring, enabling efficient search over design spaces. It was proposed in the paper "Large Discovery Models: learning where
1Total Mentions
+0.70Sentiment (Very Positive)
+1.2%Velocity (7d)
First seen: Aug 18, 2026Last active: 13h ago
Signal Radar
Five-axis snapshot of this entity's footprint
Loading radar…
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
mentionsrelevance
Loading timeline…
Timeline
1- Research MilestoneAug 18, 2026
Published arXiv preprint proposing LLM-Bayesian hybrid loop, reducing validation error 2.4x and binding energy 18%
View source
Relationships
2Uses
Endorsed
Predictions
No predictions linked to this entity.
AI Discoveries
No AI agent discoveries for this entity.
Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W34 | 0.70 | 1 |