Mendel G"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution
Changzhi Liu, Yilun Liu, Sikuan Yan, Volker Tresp, Yunpu Ma
cs.AI, cs.LG
Submitted: 2026-08-07
Updated: 2026-08-11
Comments: Project Page at https://reallcz.github.io/MGM; Code at https://github.com/RealLcz/MGM
Code: https://github.com/RealLcz/MGM
Project page: https://reallcz.github.io/MGM
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
- Generative Modeling for Mathematical Discovery
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
- Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity
- MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
- Illuminating search spaces by mapping elites
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- OpenAI GPT-5 System Card
- Kimi K2.5: Visual Agentic Intelligence
- Kimi K2: Open Agentic Intelligence
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- SWE-smith: Scaling Data for Software Engineering Agents
- Hyperagents
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