What is recorded here?
Used evolutionary program search, selection and simplification to discover Lion, a momentum-based sign-update optimizer, and evaluated its transfer from proxy tasks to larger vision and language training.
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Scientific scope
Evolutionary search generated candidate optimizer programs. Human researchers designed the search and evaluation, selected candidates and simplified the final optimizer. The human-designed evolutionary search, selection procedure and resulting optimizer are assessed together. Gains vary with learning rate, batch size and task; the paper identifies settings with small or insignificant improvements. Program search is not proof of universal optimizer superiority or autonomous scientific correctness.
Read the original work
- Symbolic Discovery of Optimization Algorithms
- Chen et al.: symbolic optimizer search and Lion — author/proceedings record
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People and systems
Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le
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Evolutionary program search (Lion) · Not recorded: research execution is source-reported, not provider-attested · Not applicable: no language-model version identified for this search
Evolutionary search generated candidate optimizer programs. Human researchers designed the search and evaluation, selected candidates and simplified the final optimizer.. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
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English catalogue narrative
Chen et al.: symbolic optimizer search and Lion
Used evolutionary program search, selection and simplification to discover Lion, a momentum-based sign-update optimizer, and evaluated its transfer from proxy tasks to larger vision and language training.
Scientific scope
Evolutionary search generated candidate optimizer programs. Human researchers designed the search and evaluation, selected candidates and simplified the final optimizer. The human-designed evolutionary search, selection procedure and resulting optimizer are assessed together. Gains vary with learning rate, batch size and task; the paper identifies settings with small or insignificant improvements. Program search is not proof of universal optimizer superiority or autonomous scientific correctness.
People and systems
Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le
Evolutionary program search (Lion) / Not recorded: research execution is source-reported, not provider-attested / Not applicable: no language-model version identified for this search: Evolutionary search generated candidate optimizer programs. Human researchers designed the search and evaluation, selected candidates and simplified the final optimizer. (source reported).