Efficient LLM Distillation for Bangladesh Legal Context: A Smartphone-Compatible Retrieval-Augmented Generation Model

arXiv:2609.24177 · cs.CL · Submitted 2026-09-21 · Read on arXiv

cs.CL

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 10 pages, 6 figures, 8 tables

Code: https://github.com/ggml-org/llama.cpp

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

Terminology

• RAG — 38× in this paper · explained in 3 episodes
• Distillation — 27× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Knowledge Distillation — 8× in this paper · explained in 11 episodes
• Retrieval-Augmented Generation — 6× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Embeddings — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• LoRA Adapters — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Edge Deployment — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• On-Policy Distillation — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• TinyBERT: Distilling BERT for Natural Language Understanding
• BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
• A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts
• Distilling the Knowledge in a Neural Network
• Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
• LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India
• MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
• Memorization Dynamics in Knowledge Distillation for Language Models
• QLoRA: Efficient Finetuning of Quantized LLMs
• Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
• Edge Deployment of Small Language Models, a comprehensive comparison of CPU, GPU and NPU backends
• LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load
• LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge
• Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering