{"total":24,"rows":[{"id":"2406.11477","title":"How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?","created":"2024-06-17","cited_by_count":22,"area":null},{"id":"2402.18766","title":"Advancing Generative AI for Portuguese with Open Decoder Gerv\\'asio PT*","created":"2024-02-29","cited_by_count":19,"area":null},{"id":"2402.10712","title":"An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference","created":"2024-02-16","cited_by_count":18,"area":null},{"id":"2401.16640","title":"TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese","created":"2024-01-30","cited_by_count":13,"area":null},{"id":"2411.07854","title":"Tucano: Advancing Neural Text Generation for Portuguese","created":"2024-11-12","cited_by_count":13,"area":null},{"id":"2401.02909","title":"Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task","created":"2024-01-05","cited_by_count":12,"area":null},{"id":"2408.06273","title":"FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data","created":"2024-08-12","cited_by_count":10,"area":null},{"id":"2406.10806","title":"ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language","created":"2024-06-16","cited_by_count":8,"area":null},{"id":"2405.07745","title":"LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language","created":"2024-05-13","cited_by_count":6,"area":null},{"id":"2408.15040","title":"A Survey of Large Language Models for European Languages","created":"2024-08-27","cited_by_count":6,"area":null},{"id":"2412.11704","title":"Adapting Chat Language Models Using Only Target Unlabeled Language Data","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2508.19089","title":"It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs","created":"2025-08-26","cited_by_count":6,"area":null},{"id":"2403.18140","title":"Juru: Legal Brazilian Large Language Model from Reputable Sources","created":"2024-03-26","cited_by_count":5,"area":null},{"id":"2511.17808","title":"PoETa v2: Toward More Robust Evaluation of Large Language Models in Portuguese","created":"2025-11-21","cited_by_count":5,"area":null},{"id":"2412.14471","title":"Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs","created":"2024-12-19","cited_by_count":4,"area":null},{"id":"2512.12770","title":"Curi\\'o-Edu 7B: Examining Data Selection Impacts in LLM Continued Pretraining","created":"2025-12-14","cited_by_count":4,"area":null},{"id":"2406.07288","title":"Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models","created":"2024-06-11","cited_by_count":3,"area":null},{"id":"2408.03936","title":"SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature","created":"2024-08-07","cited_by_count":3,"area":null},{"id":"2509.08960","title":"BRoverbs -- Measuring how much LLMs understand Portuguese proverbs","created":"2025-09-10","cited_by_count":3,"area":null},{"id":"2505.10945","title":"Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2509.26124","title":"Vocabulary Customization for Efficient Domain-Specific LLM Deployment","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2603.22629","title":"LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2603.24826","title":"Synthetic Rewriting as a Quality Multiplier: Evidence from Portuguese Continued Pretraining","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2608.18138","title":"Language Models for Portuguese: A Systematic Mapping Study","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}