FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution
cs.NE, cs.AI, cs.CL
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/chchenhui/frugalevo
Sources
- CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
- Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
- AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Barbarians at the Gate: How AI is Upending Systems Research
- LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers
- Aletheia tackles FirstProof autonomously
- Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erd\H{o}s Problems
- Towards Autonomous Mathematics Research
- FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
- EvoX: Meta-Evolution for Automated Discovery
- Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution
- FrontierCS: Evolving Challenges for Evolving Intelligence
- Illuminating search spaces by mapping elites
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
- SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery
- FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks
- ThetaEvolve: Test-time Learning on Open Problems
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