{"total":102,"rows":[{"id":"2305.15425","title":"Language Model Tokenizers Introduce Unfairness Between Languages","created":"2023-05-17","cited_by_count":214,"area":null},{"id":"2310.05694","title":"A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics","created":"2023-10-09","cited_by_count":163,"area":null},{"id":"2304.03738","title":"Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models","created":"2023-04-07","cited_by_count":148,"area":null},{"id":"2201.05273","title":"Pretrained Language Models for Text Generation: A Survey","created":"2022-01-14","cited_by_count":122,"area":null},{"id":"2109.00486","title":"Survey of Low-Resource Machine Translation","created":"2021-09-01","cited_by_count":92,"area":null},{"id":"2210.08523","title":"Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World","created":"2022-10-16","cited_by_count":55,"area":null},{"id":"2307.14192","title":"Unveiling Security, Privacy, and Ethical Concerns of ChatGPT","created":"2023-07-26","cited_by_count":53,"area":null},{"id":"2312.12112","title":"Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes","created":"2023-12-19","cited_by_count":52,"area":null},{"id":"2112.02043","title":"Multilingual training for Software Engineering","created":"2021-12-03","cited_by_count":43,"area":null},{"id":"2405.10853","title":"The Future of Large Language Model Pre-training is Federated","created":"2024-05-17","cited_by_count":30,"area":null},{"id":"2412.04497","title":"Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research","created":"2024-11-30","cited_by_count":27,"area":null},{"id":"2203.08850","title":"Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?","created":"2022-03-16","cited_by_count":24,"area":null},{"id":"2309.04369","title":"Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation","created":"2023-09-08","cited_by_count":24,"area":null},{"id":"2405.20574","title":"Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark","created":"2024-05-31","cited_by_count":23,"area":null},{"id":"2311.10174","title":"JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing","created":"2023-11-16","cited_by_count":18,"area":null},{"id":"2202.10062","title":"USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation","created":"2022-02-21","cited_by_count":15,"area":null},{"id":"2402.07446","title":"Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora","created":"2024-02-12","cited_by_count":13,"area":null},{"id":"2204.04344","title":"Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages","created":"2022-04-09","cited_by_count":11,"area":null},{"id":"2303.14406","title":"Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities","created":"2023-03-25","cited_by_count":11,"area":null},{"id":"2312.07751","title":"Large Human Language Models: A Need and the Challenges","created":"2023-11-09","cited_by_count":11,"area":null},{"id":"2407.00247","title":"Prompt Refinement with Image Pivot for Text-to-Image Generation","created":"2024-06-28","cited_by_count":11,"area":null},{"id":"2401.11033","title":"FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?","created":"2024-01-19","cited_by_count":9,"area":null},{"id":"2408.14811","title":"Brain-inspired Artificial Intelligence: A Comprehensive Review","created":"2024-08-27","cited_by_count":9,"area":null},{"id":"2203.12524","title":"Computational historical linguistics and language diversity in South Asia","created":"2022-03-23","cited_by_count":8,"area":null},{"id":"2306.06804","title":"Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction","created":"2023-06-11","cited_by_count":7,"area":null},{"id":"2312.04764","title":"First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages","created":"2023-12-08","cited_by_count":7,"area":null},{"id":"2211.11081","title":"A Theory of Unsupervised Translation Motivated by Understanding Animal Communication","created":"2022-11-20","cited_by_count":6,"area":null},{"id":"2303.07201","title":"An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis","created":"2023-02-28","cited_by_count":6,"area":null},{"id":"2304.03945","title":"Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing","created":"2023-04-08","cited_by_count":6,"area":null},{"id":"2310.09141","title":"PuoBERTa: Training and evaluation of a curated language model for Setswana","created":"2023-10-13","cited_by_count":6,"area":null},{"id":"2405.08997","title":"LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages","created":"2024-05-14","cited_by_count":6,"area":null},{"id":"2411.04573","title":"Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages","created":"2024-11-07","cited_by_count":6,"area":null},{"id":"2501.00529","title":"Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches","created":"2024-12-31","cited_by_count":6,"area":null},{"id":"2503.12051","title":"TLUE: A Tibetan Language Understanding Evaluation Benchmark","created":"2025-03-15","cited_by_count":6,"area":null},{"id":"2509.11570","title":"Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challenges","created":"2025-09-15","cited_by_count":6,"area":null},{"id":"2111.06230","title":"Training Cross-Lingual embeddings for Setswana and Sepedi","created":"2021-11-11","cited_by_count":5,"area":null},{"id":"2305.00606","title":"Low-Resourced Machine Translation for Senegalese Wolof Language","created":"2023-05-01","cited_by_count":5,"area":null},{"id":"2306.01382","title":"Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation","created":"2023-06-02","cited_by_count":5,"area":null},{"id":"2405.06818","title":"A Systematic Review of NLP for Ghanaian Languages: Datasets, Models, and a Research Roadmap","created":"2024-05-10","cited_by_count":5,"area":null},{"id":"2405.14446","title":"Worldwide Federated Training of Language Models","created":"2024-05-23","cited_by_count":5,"area":null},{"id":"2406.14267","title":"On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?","created":"2024-06-20","cited_by_count":5,"area":null},{"id":"2407.08819","title":"Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2411.12262","title":"Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service","created":"2024-11-19","cited_by_count":5,"area":null},{"id":"2205.06993","title":"Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning","created":"2022-05-14","cited_by_count":4,"area":null},{"id":"2309.03378","title":"RoDia: A New Dataset for Romanian Dialect Identification from Speech","created":"2023-09-06","cited_by_count":4,"area":null},{"id":"2403.00411","title":"Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish","created":"2024-03-01","cited_by_count":4,"area":null},{"id":"2408.01961","title":"Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study","created":"2024-08-04","cited_by_count":4,"area":null},{"id":"2506.08321","title":"LeanTutor: Towards a Verified AI Mathematical Proof Tutor","created":"2025-06-10","cited_by_count":4,"area":null},{"id":"2111.14319","title":"TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection","created":"2021-11-29","cited_by_count":3,"area":null},{"id":"2310.09091","title":"Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI","created":"2023-10-13","cited_by_count":3,"area":null},{"id":"2404.02512","title":"Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2406.05888","title":"Feriji: A French-Zarma Parallel Corpus, Glossary & Translator","created":"2024-06-09","cited_by_count":3,"area":null},{"id":"2411.04825","title":"VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2205.08722","title":"Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation","created":"2022-05-18","cited_by_count":2,"area":null},{"id":"2412.16365","title":"Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)","created":"2024-12-20","cited_by_count":2,"area":null},{"id":"2412.19522","title":"Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation","created":"2024-12-27","cited_by_count":2,"area":null},{"id":"2503.21393","title":"An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses","created":"2025-03-27","cited_by_count":2,"area":null},{"id":"2503.22582","title":"Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2508.19887","title":"Bangla-Bayanno: A 52K-Pair Bengali Visual Question Answering Dataset with LLM-Assisted Translation Refinement","created":"2025-08-27","cited_by_count":2,"area":null},{"id":"2510.16743","title":"Zero-Shot Performance Prediction for Probabilistic Scaling Laws","created":"2025-10-19","cited_by_count":2,"area":null},{"id":"2108.03739","title":"Machine Translation of Low-Resource Indo-European Languages","created":"2021-08-08","cited_by_count":1,"area":null},{"id":"2208.09180","title":"Effective Transfer Learning for Low-Resource Natural Language Understanding","created":"2022-08-19","cited_by_count":1,"area":null},{"id":"2210.11670","title":"SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models","created":"2022-10-21","cited_by_count":1,"area":null},{"id":"2308.01413","title":"LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning","created":"2023-07-30","cited_by_count":1,"area":null},{"id":"2312.03727","title":"Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2403.00144","title":"EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2403.19365","title":"EthioMT: Parallel Corpus for Low-resource Ethiopian Languages","created":"2024-03-28","cited_by_count":1,"area":null},{"id":"2404.02408","title":"CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models","created":"2024-04-03","cited_by_count":1,"area":null},{"id":"2406.12564","title":"Low-Resource Machine Translation through the Lens of Personalized Federated Learning","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2412.00966","title":"From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation","created":"2024-12-01","cited_by_count":1,"area":null},{"id":"2412.18367","title":"Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)","created":"2024-12-24","cited_by_count":1,"area":null},{"id":"2502.02451","title":"Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case Study","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2509.20557","title":"SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2206.02230","title":"Finetuning a Kalaallisut-English machine translation system using web-crawled data","created":"2022-06-05","cited_by_count":0,"area":null},{"id":"2210.02545","title":"JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT","created":"2022-10-05","cited_by_count":0,"area":null},{"id":"2312.06926","title":"Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2403.14454","title":"Prediction of Translation Techniques for the Translation Process","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2406.02517","title":"Deterministic Reversible Data Augmentation for Neural Machine Translation","created":"2024-06-04","cited_by_count":0,"area":null},{"id":"2406.10172","title":"Datasets for Multilingual Answer Sentence Selection","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2407.05189","title":"Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus","created":"2024-07-06","cited_by_count":0,"area":null},{"id":"2409.00071","title":"Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation","created":"2024-08-24","cited_by_count":0,"area":null},{"id":"2409.09549","title":"COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcare","created":"2024-09-14","cited_by_count":0,"area":null},{"id":"2410.07737","title":"Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data","created":"2024-10-10","cited_by_count":0,"area":null},{"id":"2412.04717","title":"NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2502.14923","title":"AI Thinking as a Meaning-Centered Framework: Reimagining Language Technologies Through Community Agency","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2505.15069","title":"In-Domain African Languages Translation Using LLMs and Multi-armed Bandits","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2505.17371","title":"An End-to-End Approach for Child Reading Assessment in the Xhosa Language","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2509.03962","title":"Exploring NLP Benchmarks in an Extremely Low-Resource Setting","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2510.05644","title":"The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2512.19379","title":"OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2601.09716","title":"Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2601.09982","title":"Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2601.17473","title":"LeanTutor: Towards a Verified AI Mathematical Proof Tutor","created":"2026-01-24","cited_by_count":0,"area":null},{"id":"2603.17087","title":"Ensemble Self-Training for Unsupervised Machine Translation","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2604.22693","title":"CRAFT: Clustered Regression for Adaptive Filtering of Training data","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2606.13735","title":"VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.08362","title":"Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2608.05104","title":"BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.13722","title":"BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.19885","title":"Evaluating Communicative Success in Machine-Translated Conversation","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":"100"}