Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
Use a method to improve the accuracy of large language models by reducing incorrect information.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOfficial implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
DoLa has 558 stars on GitHub. It has been forked 68 times. DoLa is written mainly in Python. It has been in active development since 2023. Its main topics are factuality, hallucinations, large-language-models.
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
DoLa is an open-source project.
Yes. DoLa is free and open source — you can use, modify and self-host it.
DoLa is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/voidism-dola.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.