LLMersion: A Local-First AI Agent Framework for Low-Cost Home Language Learning toward Educational Equity

arXiv:2609.29672 · cs.CL, cs.CY, cs.HC · Submitted 2026-09-12 · Read on arXiv

cs.CL, cs.CY, cs.HC

Submitted: 2026-09-12

Updated: 2026-10-02

Comments: 24 pages, 5 figures, 7 tables. v2 adds interface figures and the companion tool LLMersion Narrator. Code: https://github.com/QM378/LLMersion ; Narrator: https://github.com/QM378/llmersion-narrator

Code: https://github.com/QM378/LLMersion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 8× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Analyzer — 1× in this paper · explained in 1 episode
• Edge AI — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Future Machine Learning and Data Science — 1× in this paper
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 1× in this paper
• Joint Attention — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• PaLM-E: An Embodied Multimodal Language Model
• Gemini: A Family of Highly Capable Multimodal Models
• Gemma 2: Improving Open Language Models at a Practical Size
• SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey
• SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
• Mistral 7B
• No Language Left Behind: Scaling Human-Centered Machine Translation
• GPT-4 Technical Report
• Qwen2.5 Technical Report
• LLaMA: Open and Efficient Foundation Language Models
• Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications
• Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

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