{"total":15,"rows":[{"id":"2407.10671","title":"Qwen2 Technical Report","created":"2024-07-15","cited_by_count":2120,"area":null},{"id":"2504.10356","title":"MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages","created":"2025-04-14","cited_by_count":26,"area":null},{"id":"2412.21140","title":"Facilitating large language model Russian adaptation with Learned Embedding Propagation","created":"2024-12-30","cited_by_count":8,"area":null},{"id":"2403.17553","title":"RuBia: A Russian Language Bias Detection Dataset","created":"2024-03-26","cited_by_count":4,"area":null},{"id":"2503.01493","title":"Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting","created":"2025-03-03","cited_by_count":4,"area":null},{"id":"2507.12284","title":"MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks","created":"2025-07-16","cited_by_count":4,"area":null},{"id":"2503.13102","title":"REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities","created":"2025-03-17","cited_by_count":3,"area":null},{"id":"2605.04523","title":"RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2502.07455","title":"RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation","created":"2025-02-11","cited_by_count":1,"area":null},{"id":"2410.18040","title":"Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases","created":"2024-10-23","cited_by_count":0,"area":null},{"id":"2505.16036","title":"OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2505.24616","title":"Eye of Judgement: Dissecting the Evaluation of Russian-speaking LLMs with POLLUX","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2512.21580","title":"Gamayun's Path to Multilingual Mastery: Cost-Efficient Training of a 1.5B-Parameter LLM","created":"2025-12-25","cited_by_count":0,"area":null},{"id":"2604.03672","title":"AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2607.21445","title":"When Trivia Is Not Trivial: Everyday Knowledge Failures in Multilingual LLMs","created":"2026-07-23","cited_by_count":0,"area":null}],"next_cursor":null}