Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
M. K. Arabov’s research introduces an Arabic–Russian parallel corpus of 27,000 sentence pairs to bridge scientific knowledge gaps. The hosts discuss how fine-tuning models like Qwen using QLoRA significantly improves translation quality, whereas smaller models and few-shot prompting proved ineffective for specialized technical communication between these two languages.