CogEvol: Towards Efficient and Reliable Learning Environment Generation

arXiv:2608.30968 · cs.CL, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-31

Updated: 2026-09-02

Code: https://github.com/CogEvol/CogEvol-4B

Terminology

• Fidelity — 24× in this paper · explained in 2 episodes
• Benchmark — 20× in this paper · explained in 2 episodes
• GRPO — 8× in this paper · explained in 6 episodes
• Learning Environment Generation — 8× in this paper
• Trace — 7× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Scaffolding — 5× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Cognitive Load — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Speculative Decoding — 2× in this paper · explained in 2 episodes
• Action Primitives — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• PresentBench: A Fine-Grained Rubric-Based Benchmark for Slide Generation
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• Gemini: A Family of Highly Capable Multimodal Models
• Better & Faster Large Language Models via Multi-token Prediction
• Qwen3 Technical Report
• Microscaling Data Formats for Deep Learning
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
• Evaluating Interactivity: Toward Automated Assessment of AI-Generated Explorable Explanations
• Gated Delta Networks: Improving Mamba2 with Delta Rule
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
• GLM-5: from Vibe Coding to Agentic Engineering

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