{"total":92,"rows":[{"id":"2205.02022","title":"A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation","created":"2022-05-04","cited_by_count":98,"area":null},{"id":"2404.00925","title":"LLMs are Good Sign Language Translators","created":"2024-04-01","cited_by_count":77,"area":null},{"id":"2212.10020","title":"On the Blind Spots of Model-Based Evaluation Metrics for Text Generation","created":"2022-12-20","cited_by_count":49,"area":null},{"id":"2405.11804","title":"(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts","created":"2024-05-20","cited_by_count":49,"area":"agents"},{"id":"2305.11938","title":"XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages","created":"2023-05-19","cited_by_count":34,"area":null},{"id":"2305.01181","title":"A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models","created":"2023-05-02","cited_by_count":19,"area":null},{"id":"2210.11621","title":"SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages","created":"2022-10-20","cited_by_count":16,"area":null},{"id":"2402.11711","title":"MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization","created":"2024-02-18","cited_by_count":16,"area":"alignment"},{"id":"2406.05213","title":"On Subjective Uncertainty Quantification and Calibration in Natural Language Generation","created":"2024-06-07","cited_by_count":16,"area":null},{"id":"2505.21315","title":"Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead","created":"2025-05-27","cited_by_count":16,"area":null},{"id":"2505.14423","title":"Scaling Low-Resource MT via Synthetic Data Generation with LLMs","created":"2025-05-20","cited_by_count":14,"area":"synth"},{"id":"2406.13560","title":"Lexically Grounded Subword Segmentation","created":"2024-06-19","cited_by_count":13,"area":null},{"id":"2502.11862","title":"Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu","created":"2025-02-17","cited_by_count":13,"area":null},{"id":"2208.05909","title":"Domain-Specific Text Generation for Machine Translation","created":"2022-08-11","cited_by_count":12,"area":null},{"id":"2404.04809","title":"Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language","created":"2024-04-07","cited_by_count":12,"area":"rag"},{"id":"2304.12206","title":"PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale","created":"2023-04-24","cited_by_count":10,"area":null},{"id":"2212.08986","title":"Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?","created":"2022-12-18","cited_by_count":9,"area":null},{"id":"2406.17363","title":"Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation","created":"2024-06-25","cited_by_count":9,"area":null},{"id":"2504.01919","title":"Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation","created":"2025-04-02","cited_by_count":8,"area":null},{"id":"2304.03216","title":"On the Pareto Front of Multilingual Neural Machine Translation","created":"2023-04-06","cited_by_count":7,"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":"2209.13279","title":"Improving Multilingual Neural Machine Translation System for Indic Languages","created":"2022-09-27","cited_by_count":6,"area":null},{"id":"2210.10692","title":"Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages","created":"2022-10-19","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":"2205.08621","title":"Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation","created":"2022-05-17","cited_by_count":5,"area":null},{"id":"2206.00564","title":"Exploring Diversity in Back Translation for Low-Resource Machine Translation","created":"2022-06-01","cited_by_count":5,"area":null},{"id":"2404.15737","title":"No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement","created":"2024-04-24","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":"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":"2509.14749","title":"Evaluating Large Language Models for Cross-Lingual Retrieval","created":"2025-09-18","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":"2207.07025","title":"Learning to translate by learning to communicate","created":"2022-07-14","cited_by_count":4,"area":null},{"id":"2305.17406","title":"Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models","created":"2023-05-27","cited_by_count":4,"area":null},{"id":"2306.09830","title":"Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages","created":"2023-06-16","cited_by_count":4,"area":null},{"id":"2502.20047","title":"Connecting the Persian-speaking World through Transliteration","created":"2025-02-27","cited_by_count":4,"area":null},{"id":"2503.04797","title":"Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review","created":"2025-03-02","cited_by_count":4,"area":null},{"id":"2601.16766","title":"Do LLM hallucination detectors suffer from low-resource effect?","created":"2026-01-23","cited_by_count":4,"area":null},{"id":"2111.06787","title":"BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation","created":"2021-11-12","cited_by_count":3,"area":null},{"id":"2305.13085","title":"Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2305.15405","title":"Textless Speech-to-Speech Translation With Limited Parallel Data","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2402.12730","title":"UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation","created":"2024-02-20","cited_by_count":3,"area":null},{"id":"2505.21999","title":"Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2601.12535","title":"Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning","created":"2026-01-18","cited_by_count":3,"area":"alignment"},{"id":"2201.05700","title":"Cost-Effective Training in Low-Resource Neural Machine Translation","created":"2022-01-14","cited_by_count":2,"area":null},{"id":"2403.18031","title":"The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation","created":"2024-03-26","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":"2504.02674","title":"Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole","created":"2025-04-03","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":"2603.19931","title":"SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia","created":"2026-03-20","cited_by_count":2,"area":"agents"},{"id":"2211.07534","title":"High-Resource Methodological Bias in Low-Resource Investigations","created":"2022-11-14","cited_by_count":1,"area":null},{"id":"2212.08482","title":"Implementation of general formal translators","created":"2022-12-16","cited_by_count":1,"area":null},{"id":"2403.10963","title":"Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!","created":"2024-03-16","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":"2407.06538","title":"Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study","created":"2024-07-09","cited_by_count":1,"area":"distill"},{"id":"2407.09861","title":"A Systematic Survey of Natural Language Processing for the Greek Language","created":"2024-07-13","cited_by_count":1,"area":null},{"id":"2410.10303","title":"A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification","created":"2024-10-14","cited_by_count":1,"area":null},{"id":"2410.17728","title":"Dialectal and Low-Resource Machine Translation for Aromanian","created":"2024-10-23","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":"2505.02518","title":"Bemba Speech Translation: Exploring a Low-Resource African Language","created":"2025-05-05","cited_by_count":1,"area":null},{"id":"2507.11966","title":"Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2508.02290","title":"A French Version of the OLDI Seed Corpus","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2511.00486","title":"Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus","created":"2025-11-01","cited_by_count":1,"area":null},{"id":"2602.04764","title":"Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2603.15624","title":"Exploring the Use of VLMs for Navigation Assistance for People with Blindness and Low Vision","created":"2026-01-26","cited_by_count":1,"area":"lr"},{"id":"2205.11370","title":"Use of Transformer-Based Models for Word-Level Transliteration of the Book of the Dean of Lismore","created":"2022-05-23","cited_by_count":0,"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":"2310.19687","title":"Sentiment Analysis in Digital Spaces: An Overview of Reviews","created":"2023-10-30","cited_by_count":0,"area":null},{"id":"2407.01315","title":"Language Portability Strategies for Open-domain Dialogue with Pre-trained Language Models from High to Low Resource Languages","created":"2024-07-01","cited_by_count":0,"area":null},{"id":"2411.00727","title":"SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task","created":"2024-11-01","cited_by_count":0,"area":null},{"id":"2412.13924","title":"Language verY Rare for All","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2502.19784","title":"NaijaNLP: A Survey of Nigerian Low-Resource Languages","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2505.12273","title":"LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English Benchmark","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2505.18683","title":"TULUN: Transparent and Adaptable Low-resource Machine Translation","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2506.03820","title":"Automatic Correction of Writing Anomalies in Hausa Texts","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.21566","title":"The Saturation Point of Backtranslation in High Quality Low Resource English Gujarati Machine Translation","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2509.07471","title":"From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2509.08812","title":"MoVoC: Morphology-Aware Subword Construction for Geez Script Languages","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2509.12514","title":"A comparison of pipelines for the translation of a low resource language based on transformers","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2510.14466","title":"Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2512.05501","title":"SEA-SafeguardBench: Evaluating AI Safety in SEA Languages and Cultures","created":"2025-12-05","cited_by_count":0,"area":"safety"},{"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":"2601.19871","title":"Reflective Translation: Improving Low-Resource Machine Translation via Structured Self-Reflection","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2602.21647","title":"Mitigating Structural Noise in Low-Resource S2TT: An Optimized Cascaded Nepali-English Pipeline with Punctuation Restoration","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.25222","title":"Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2603.29345","title":"Open Machine Translation for Esperanto","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2606.11786","title":"Lius: Translation Model Based Instructional Lingustic Using Continual Instruction Tuning In Kupang Malay","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.22269","title":"Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2607.06457","title":"Andha-Dhun: A First Look at Audio Descriptions in Hindi","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.22376","title":"A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books","created":"2026-07-24","cited_by_count":0,"area":"synth"},{"id":"2610.01082","title":"Precision over Scale: A Polish-Silesian Benchmark and a Translation System Outperforming Open-Source and Commercial Models","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}