{"total":26,"rows":[{"id":"2402.06619","title":"Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning","created":"2024-02-09","cited_by_count":177,"area":null},{"id":"2502.14830","title":"Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs","created":"2025-02-20","cited_by_count":29,"area":null},{"id":"2411.18553","title":"Retrofitting Large Language Models with Dynamic Tokenization","created":"2024-11-27","cited_by_count":16,"area":null},{"id":"2507.00994","title":"Should We Still Pretrain Encoders with Masked Language Modeling?","created":"2025-07-01","cited_by_count":16,"area":null},{"id":"2505.21265","title":"Multilingual Pretraining for Pixel Language Models","created":"2025-05-27","cited_by_count":12,"area":null},{"id":"2502.11824","title":"M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis","created":"2025-02-17","cited_by_count":9,"area":null},{"id":"2506.21508","title":"skLEP: A Slovak General Language Understanding Benchmark","created":"2025-06-26","cited_by_count":3,"area":null},{"id":"2508.02189","title":"Learning Dynamics of Meta-Learning in Small Model Pretraining","created":"2025-08-04","cited_by_count":3,"area":null},{"id":"2508.03523","title":"FilBench: Can LLMs Understand and Generate Filipino?","created":"2025-08-05","cited_by_count":3,"area":null},{"id":"2509.02160","title":"Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages","created":"2025-09-02","cited_by_count":3,"area":null},{"id":"2412.09587","title":"OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2504.08792","title":"Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation","created":"2025-04-07","cited_by_count":2,"area":null},{"id":"2601.16946","title":"Strategies for Span Labeling with Large Language Models","created":"2026-01-23","cited_by_count":2,"area":null},{"id":"2506.05949","title":"NameTag 3: A Tool and a Service for Multilingual/Multitagset NER","created":"2025-06-06","cited_by_count":1,"area":null},{"id":"2410.21501","title":"SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval","created":"2024-10-28","cited_by_count":0,"area":null},{"id":"2501.19093","title":"Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2505.16814","title":"Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2601.06347","title":"What Matters When Building Universal Multilingual Named Entity Recognition Models?","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2601.11090","title":"Efficient Multilingual Name Type Classification Using Convolutional Networks","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2602.15814","title":"Avey-B","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2603.03884","title":"CzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2603.12021","title":"Just Use XML: Revisiting Joint Translation and Label Projection","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2604.12744","title":"Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.04886","title":"BenCSSmark: Making the Social Sciences Count in LLM Research","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2608.29324","title":"Pad\\=artha: Ontology-Grounded Fine-Grained NER Benchmark for Classical Sanskrit","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.18739","title":"A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}