{"total":21,"rows":[{"id":"2507.08538","title":"The AI Language Proficiency Monitor -- Tracking the Progress of LLMs on Multilingual Benchmarks","created":"2025-07-11","cited_by_count":7,"area":null},{"id":"2412.08329","title":"BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language","created":"2024-12-11","cited_by_count":6,"area":null},{"id":"2507.06774","title":"Checklist Engineering Empowers Multilingual LLM Judges","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2508.00673","title":"MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2503.11911","title":"LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2603.08182","title":"TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation","created":"2026-03-09","cited_by_count":2,"area":null},{"id":"2501.09154","title":"Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History","created":"2025-01-15","cited_by_count":1,"area":null},{"id":"2502.12886","title":"Are Multilingual Language Models an Off-ramp for Under-resourced Languages? Will we arrive at Digital Language Equality in Europe in 2030?","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2502.12895","title":"Multilingual European Language Models: Benchmarking Approaches and Challenges","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2512.14228","title":"Georeferencing complex relative locality descriptions with large language models","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2601.01244","title":"Racka: Efficient Hungarian LLM Adaptation on Academic Infrastructure","created":"2026-01-03","cited_by_count":1,"area":null},{"id":"2603.02041","title":"EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2605.24904","title":"Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2606.13111","title":"M\\\"OVE: A Holistic LLM Benchmark for the German Public Sector","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2506.12092","title":"Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2603.28213","title":"\\textit{Versteasch du mi?} Computational and Socio-Linguistic Perspectives on GenAI, LLMs, and Non-Standard Language","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.01957","title":"Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2607.24585","title":"From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.01395","title":"Language Equality has a Price: A Systematic Investigation of Multi-turn LLM Performance for EU-24+","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2609.15528","title":"To Each Language Its Tokenizer: Modular Tokenizers for Efficient Multilingual LLMs","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.18284","title":"Made in Hungary: Comments on the performance of generative language models","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}