Tatarstan Toponyms: A Bilingual Dataset and Hybrid RAG System for Geospatial Question Answering

arXiv:2605.05962 · cs.CL · Submitted 2026-08-19 · Read on arXiv

Mullosharaf K. Arabov, Svetlana S. Khaybullina, Dinara M. Naumetova

cs.CL

Submitted: 2026-08-19

Updated: 2026-08-20

Comments: Preprint. 23 pages, 6 figures, 7 tables. Published in Computational Linguistics in Bulgaria

Journal ref: Computational Linguistics in Bulgaria 2026 2(1) 41-63

DOI: 0.47810/JCLIB.2.2026.03

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

Terminology

• RAG — 26× in this paper · explained in 3 episodes
• Generative Model — 8× in this paper · explained in 2 episodes
• Tokenization — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Embeddings — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mean Reciprocal Rank — 1× in this paper
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation — 1× in this paper
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Text Embeddings by Weakly-Supervised Contrastive Pre-training
• Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

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