{"total":49,"rows":[{"id":"2305.15425","title":"Language Model Tokenizers Introduce Unfairness Between Languages","created":"2023-05-17","cited_by_count":214,"area":null},{"id":"2202.01159","title":"L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources","created":"2022-02-02","cited_by_count":51,"area":null},{"id":"2109.04588","title":"BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation","created":"2021-09-09","cited_by_count":35,"area":null},{"id":"2203.08459","title":"KinyaBERT: a Morphology-aware Kinyarwanda Language Model","created":"2022-03-16","cited_by_count":27,"area":null},{"id":"2107.07903","title":"Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan","created":"2021-07-16","cited_by_count":26,"area":null},{"id":"2204.08669","title":"Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi","created":"2022-04-19","cited_by_count":16,"area":null},{"id":"2304.11434","title":"L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT","created":"2023-04-22","cited_by_count":15,"area":null},{"id":"2201.05601","title":"A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models","created":"2022-01-14","cited_by_count":13,"area":null},{"id":"2401.02709","title":"German Text Embedding Clustering Benchmark","created":"2024-01-05","cited_by_count":13,"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":"2211.11187","title":"L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi","created":"2022-11-21","cited_by_count":10,"area":null},{"id":"2303.08179","title":"MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain","created":"2023-03-14","cited_by_count":10,"area":null},{"id":"2303.13310","title":"SwissBERT: The Multilingual Language Model for Switzerland","created":"2023-03-23","cited_by_count":9,"area":null},{"id":"2411.11171","title":"LL\\\"aMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch","created":"2024-11-17","cited_by_count":9,"area":null},{"id":"2109.03094","title":"FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning","created":"2021-09-07","cited_by_count":7,"area":null},{"id":"2307.10188","title":"Several categories of Large Language Models (LLMs): A Short Survey","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2306.04384","title":"Multilingual Clinical NER: Translation or Cross-lingual Transfer?","created":"2023-06-07","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":"2411.12986","title":"Training Bilingual LMs with Data Constraints in the Targeted Language","created":"2024-11-20","cited_by_count":6,"area":null},{"id":"2205.10233","title":"RigoBERTa: A State-of-the-Art Language Model For Spanish","created":"2022-04-27","cited_by_count":5,"area":null},{"id":"2206.14619","title":"A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter","created":"2022-06-27","cited_by_count":5,"area":null},{"id":"2310.07321","title":"On the Impact of Cross-Domain Data on German Language Models","created":"2023-10-11","cited_by_count":5,"area":null},{"id":"2403.20056","title":"Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets","created":"2024-03-29","cited_by_count":5,"area":null},{"id":"2110.10431","title":"Discontinuous Grammar as a Foreign Language","created":"2021-10-20","cited_by_count":4,"area":null},{"id":"2212.14727","title":"Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage","created":"2022-12-27","cited_by_count":4,"area":null},{"id":"2305.13641","title":"AxomiyaBERTa: A Phonologically-aware Transformer Model for Assamese","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2506.11903","title":"GeistBERT: Breathing Life into German NLP","created":"2025-06-13","cited_by_count":4,"area":null},{"id":"2510.21364","title":"SindBERT, the Sailor: Charting the Seas of Turkish NLP","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2206.14504","title":"GERNERMED++: Transfer Learning in German Medical NLP","created":"2022-06-29","cited_by_count":3,"area":null},{"id":"2107.06802","title":"BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews","created":"2021-07-14","cited_by_count":2,"area":null},{"id":"2212.05764","title":"Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback","created":"2022-12-12","cited_by_count":2,"area":null},{"id":"2402.06584","title":"G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German","created":"2024-02-09","cited_by_count":2,"area":null},{"id":"2506.12966","title":"Assessing the Role of Data Quality in Training Bilingual Language Models","created":"2025-06-15","cited_by_count":2,"area":null},{"id":"2606.02100","title":"PortBERT: Navigating the Depths of Portuguese Language Models","created":"2026-06-01","cited_by_count":2,"area":null},{"id":"2204.04980","title":"A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition","created":"2022-04-11","cited_by_count":1,"area":null},{"id":"2311.08793","title":"German FinBERT: A German Pre-trained Language Model","created":"2023-11-15","cited_by_count":1,"area":null},{"id":"2508.21569","title":"L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models","created":"2025-08-29","cited_by_count":1,"area":null},{"id":"2510.21372","title":"HalleluBERT: Let Every Token That Has Meaning Bear Its Weight","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2606.03773","title":"KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2109.02966","title":"FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2110.02042","title":"ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models","created":"2021-10-05","cited_by_count":0,"area":null},{"id":"2202.06769","title":"Punctuation restoration in Swedish through fine-tuned KB-BERT","created":"2022-02-14","cited_by_count":0,"area":null},{"id":"2208.14493","title":"Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP","created":"2022-08-30","cited_by_count":0,"area":null},{"id":"2209.10966","title":"Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines","created":"2022-09-22","cited_by_count":0,"area":null},{"id":"2306.04523","title":"Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2404.05694","title":"Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2605.13373","title":"Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.03250","title":"The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.20089","title":"IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources","created":"2026-06-18","cited_by_count":0,"area":null}],"next_cursor":null}