BayesBench
product→ stable
BayesBench is a benchmark by Pearl that tests 7 LLMs on multi-turn Bayesian reasoning, evaluating whether AI models can match professional judgment rather than just being mostly right.
1Total Mentions
+0.30Sentiment (Positive)
+1.2%Velocity (7d)
First seen: Jul 1, 2026Last active: 7h ago
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Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
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Timeline
1- Research MilestoneJun 29, 2026
BayesBench paper published, introducing a suite for evaluating LLM belief updating across multi-turn conversations
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Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W27 | 0.30 | 1 |