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64 lines (64 loc) · 1.75 KB
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cff-version: 1.2.0
title: HELIX
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Karim
family-names: Elmaaroufi
website: 'https://github.com/KE7'
- name: OMAR
website: 'http://omar.tech/'
version: "0.1.0"
date-released: "2026-04-10"
repository-code: 'https://github.com/KE7/helix'
license: MIT
abstract: >-
HELIX is an evolutionary code optimization framework that
applies LLM-driven mutation operators at GEPA parity to
automatically improve algorithm implementations.
references:
- type: software
title: >-
GEPA: Reflective Prompt Evolution Can Outperform
Reinforcement Learning
authors:
- given-names: Lakshya A
family-names: Agrawal
- given-names: Shangyin
family-names: Tan
- given-names: Dilara
family-names: Soylu
- given-names: Noah
family-names: Ziems
- given-names: Rishi
family-names: Khare
- given-names: Krista
family-names: Opsahl-Ong
- given-names: Arnav
family-names: Singhvi
- given-names: Herumb
family-names: Shandilya
- given-names: Michael J
family-names: Ryan
- given-names: Meng
family-names: Jiang
- given-names: Christopher
family-names: Potts
- given-names: Koushik
family-names: Sen
- given-names: Alexandros G.
family-names: Dimakis
- given-names: Ion
family-names: Stoica
- given-names: Dan
family-names: Klein
- given-names: Matei
family-names: Zaharia
- given-names: Omar
family-names: Khattab
identifiers:
- type: url
value: 'https://arxiv.org/abs/2507.19457'
license: MIT