llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

robertvacareanu/llm4regression

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Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

llm4regression grew +0.6% in the last 30 days, ranks 49th of 71 in Interpretability & Alignment, last commit 378 days ago.

Star trajectory

115 days tracked
2026-07-02162 stars today2026-10-25
Momentum

+0.6% in 30d, above the Interpretability & Alignment median of +0.2%.

Maintenance

Last commit 378 days ago, staler than the median of 202d.

How it compares in Interpretability & Alignment

llm4regression
162
stars
+0.6% 30d
commit 378 days ago
Interpretability & Alignment median
298
stars
+0.2% 30d
commit ~202d ago
Leader · lmms-eval
4.5k
stars
+0.8% 30d
commit 2 days ago

Ranked 49th of 71 by stars.

Language
Python
License
-
Contributors
2
Forks
20
Watchers
2
Open issues
2
Releases
0
Created
2024-01-16
Stars this week
+0

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