Author name: Mullosharaf K. Arabov

Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus

Mullosharaf K. Arabov / May 6, 2026

arXiv:2605.03742v1 Announce Type: new
Abstract: This paper is devoted to the adaptation of generative large language models for the Tajik language, a low-resource language with Cyrillic script. To overcome the shortage of digital text resources, the a…

cs.CL

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF

Mullosharaf K. Arabov / May 6, 2026

arXiv:2605.03799v1 Announce Type: new
Abstract: This preprint presents a systematic, research-oriented practicum that guides the reader through the entire modern NLP pipeline: from tokenisation and vectorisation to fine-tuning of large language models…

cs.CL

A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures

Mullosharaf K. Arabov / May 5, 2026

arXiv:2605.02270v1 Announce Type: new
Abstract: This paper presents the first comprehensive comparative analysis of modern machine learning architectures for transliteration between Tajik (Cyrillic script) and Persian (Arabic script). A key contributi…