{"total":29,"rows":[{"id":"2211.11418","title":"L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages","created":"2022-11-21","cited_by_count":35,"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":"2411.18571","title":"Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning","created":"2024-11-27","cited_by_count":14,"area":null},{"id":"2411.17637","title":"On Limitations of LLM as Annotator for Low Resource Languages","created":"2024-11-26","cited_by_count":12,"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":"2409.08706","title":"L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context","created":"2024-09-13","cited_by_count":10,"area":null},{"id":"2306.13888","title":"L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models","created":"2023-06-24","cited_by_count":6,"area":null},{"id":"2404.18216","title":"L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2308.09862","title":"Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi","created":"2023-08-19","cited_by_count":5,"area":null},{"id":"2409.04512","title":"Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages","created":"2024-09-06","cited_by_count":5,"area":null},{"id":"2505.03688","title":"IndicSQuAD: A Comprehensive Multilingual Question Answering Dataset for Indic Languages","created":"2025-05-06","cited_by_count":5,"area":null},{"id":"2210.04267","title":"Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection","created":"2022-10-09","cited_by_count":4,"area":null},{"id":"2311.02579","title":"mahaNLP: A Marathi Natural Language Processing Library","created":"2023-11-05","cited_by_count":3,"area":null},{"id":"2306.14030","title":"My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks","created":"2023-06-24","cited_by_count":2,"area":null},{"id":"2310.00734","title":"Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi","created":"2023-10-01","cited_by_count":2,"area":null},{"id":"2401.00170","title":"L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models","created":"2023-12-30","cited_by_count":2,"area":null},{"id":"2404.13364","title":"MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering","created":"2024-04-20","cited_by_count":2,"area":null},{"id":"2406.11028","title":"Universal Cross-Lingual Text Classification","created":"2024-06-16","cited_by_count":2,"area":null},{"id":"2506.00863","title":"L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models","created":"2025-06-01","cited_by_count":2,"area":null},{"id":"2410.09184","title":"L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2410.09192","title":"Long Range Named Entity Recognition for Marathi Documents","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2508.17444","title":"MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models","created":"2025-08-24","cited_by_count":1,"area":null},{"id":"2306.06477","title":"Enhancing Low Resource NER Using Assisting Language And Transfer Learning","created":"2023-06-10","cited_by_count":0,"area":null},{"id":"2312.01306","title":"On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi","created":"2023-12-03","cited_by_count":0,"area":null},{"id":"2406.11029","title":"Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval","created":"2024-06-16","cited_by_count":0,"area":null},{"id":"2607.23344","title":"BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2608.15535","title":"L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languages","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.29682","title":"Named Entity Recognition using Sliding Window Approach","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2610.15761","title":"Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approaches","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}