Do Small Models Use the Law You Give Them? Measuring Context Use on a Bilingual Bangladesh Legal Benchmark

arXiv:2608.30327 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/meta-llama/llama-models

Terminology

• Fine-Tuning — 52× in this paper · explained in 5 episodes
• Accuracy — 35× in this paper · explained in 1 episode
• Benchmark — 26× in this paper · explained in 2 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Provenance — 3× in this paper · explained in 4 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 2× in this paper · explained in 3 episodes
• RAG — 2× in this paper · explained in 3 episodes
• alpha — 2× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Twelfth International Conference on Learning Representations — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Assessing the Reliability of Large Language Models in the Bengali Legal Context: A Comparative Evaluation Using LLM-as-Judge and Legal Experts
• Lessons from the Trenches on Reproducible Evaluation of Language Models
• Gemma 4 Technical Report
• LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

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