{"total":34,"rows":[{"id":"2304.02210","title":"Document-Level Machine Translation with Large Language Models","created":"2023-04-05","cited_by_count":90,"area":null},{"id":"2304.03245","title":"Large language models effectively leverage document-level context for literary translation, but critical errors persist","created":"2023-04-06","cited_by_count":80,"area":null},{"id":"2310.15264","title":"Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey","created":"2023-10-23","cited_by_count":28,"area":null},{"id":"2406.03930","title":"Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art","created":"2024-06-06","cited_by_count":26,"area":null},{"id":"2311.03127","title":"Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs","created":"2023-11-06","cited_by_count":25,"area":null},{"id":"2410.18697","title":"How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs","created":"2024-10-24","cited_by_count":23,"area":null},{"id":"2311.09517","title":"GEE! Grammar Error Explanation with Large Language Models","created":"2023-11-16","cited_by_count":15,"area":null},{"id":"2405.10260","title":"Keep It Private: Unsupervised Privatization of Online Text","created":"2024-05-16","cited_by_count":10,"area":null},{"id":"2410.00988","title":"Creative and Context-Aware Translation of East Asian Idioms with GPT-4","created":"2024-10-01","cited_by_count":10,"area":null},{"id":"2505.05423","title":"LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering","created":"2025-05-08","cited_by_count":10,"area":null},{"id":"2308.13506","title":"Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level","created":"2023-08-25","cited_by_count":9,"area":null},{"id":"2306.05183","title":"Improving Long Context Document-Level Machine Translation","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2306.12916","title":"Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation","created":"2023-06-22","cited_by_count":8,"area":null},{"id":"2504.13416","title":"STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings","created":"2025-04-18","cited_by_count":8,"area":null},{"id":"2508.13079","title":"DocHPLT: A Massively Multilingual Document-Level Translation Dataset","created":"2025-08-18","cited_by_count":7,"area":null},{"id":"2409.14285","title":"ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination","created":"2024-09-22","cited_by_count":6,"area":null},{"id":"2509.17249","title":"Extending Automatic Machine Translation Evaluation to Book-Length Documents","created":"2025-09-21","cited_by_count":6,"area":null},{"id":"2305.13751","title":"Challenges in Context-Aware Neural Machine Translation","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2505.22945","title":"OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2311.03627","title":"GNAT: A General Narrative Alignment Tool","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2402.11549","title":"Syntactic Language Change in English and German: Metrics, Parsers, and Convergences","created":"2024-02-18","cited_by_count":3,"area":null},{"id":"2408.16390","title":"MQM-Chat: Multidimensional Quality Metrics for Chat Translation","created":"2024-08-29","cited_by_count":3,"area":null},{"id":"2407.08978","title":"Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models","created":"2024-07-12","cited_by_count":2,"area":null},{"id":"2412.01340","title":"A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2506.08188","title":"GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2605.13596","title":"Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2402.01684","title":"A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithm","created":"2024-01-22","cited_by_count":1,"area":null},{"id":"2306.05116","title":"On Search Strategies for Document-Level Neural Machine Translation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2506.07583","title":"Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2506.13013","title":"Missing the human touch? A computational stylometry analysis of GPT-4 translations of online Chinese literature","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2602.13905","title":"Pre-Editorial Normalization for Automatically Transcribed Medieval Manuscripts in Old French and Latin","created":"2026-02-14","cited_by_count":0,"area":null},{"id":"2605.15282","title":"Fluency and Faithfulness in Human and Machine Literary Translation","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.21178","title":"Metaphors in Literary Post-Editing: Opening Pandora's Box?","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2609.22494","title":"CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems","created":"2026-09-18","cited_by_count":0,"area":null}],"next_cursor":null}