mlsanityData to 14 Oct 2026

Solve it with EASE

arXiv 2509.18108 ↗First posted 9 Sep 2025cs.LG cs.AIcited by 1

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Abstract (arXiv)

This paper presents EASE (Effortless Algorithmic Solution Evolution), an open-source and fully modular framework for iterative algorithmic solution generation leveraging large language models (LLMs). EASE integrates generation, testing, analysis, and evaluation into a reproducible feedback loop, giving users full control over error handling, analysis, and quality assessment. Its architecture supports the orchestration of multiple LLMs in complementary roles-such as generator, analyst, and evaluator. By abstracting the complexity of prompt design and model management, EASE provides a transparent and extensible platform for researchers and practitioners to co-design algorithms and other generative solutions across diverse domains.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 14 of its 38 references that are in the map. First posted on arXiv 9 Sep 2025.

Builds on

14 of 38 references.

References · 14

  1. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoverycited by 1,071
  2. 2025AlphaEvolve: A coding agent for scientific and algorithmic discoverycited by 867
  3. 2025V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planningcited by 809
  4. 2025Accelerating scientific discovery with Co-Scientistcited by 401
  5. 2024ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolutioncited by 276
  6. 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Modelcited by 268
  7. 2024Capabilities of Gemini Models in Medicinecited by 237
  8. 2023GenCast: Diffusion-based ensemble forecasting for medium-range weathercited by 177
  9. 2024LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristicscited by 97
  10. 2023LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimizationcited by 87
  11. 2024Large language models surpass human experts in predicting neuroscience resultscited by 69
  12. 2024In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristicscited by 28
2 more
  1. 2024A comparison of Human, GPT-3.5, and GPT-4 Performance in a University-Level Coding Coursecited by 10
  2. 2025BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristicscited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Modelscited by 0