{"total":27,"rows":[{"id":"2505.06120","title":"LLMs Get Lost In Multi-Turn Conversation","created":"2025-05-09","cited_by_count":429,"area":null},{"id":"2401.06468","title":"Adapting Large Language Models for Document-Level Machine Translation","created":"2024-01-12","cited_by_count":59,"area":null},{"id":"2310.14855","title":"Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing","created":"2023-10-23","cited_by_count":21,"area":null},{"id":"2311.02321","title":"Identifying Context-Dependent Translations for Evaluation Set Production","created":"2023-11-04","cited_by_count":14,"area":null},{"id":"2310.12303","title":"Document-Level Language Models for Machine Translation","created":"2023-10-18","cited_by_count":12,"area":null},{"id":"2309.08832","title":"SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window","created":"2023-09-16","cited_by_count":11,"area":null},{"id":"2504.07583","title":"Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering","created":"2025-04-10","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":"2402.01404","title":"On Measuring Context Utilization in Document-Level MT Systems","created":"2024-02-02","cited_by_count":9,"area":null},{"id":"2406.03869","title":"Recovering document annotations for sentence-level bitext","created":"2024-06-06","cited_by_count":6,"area":null},{"id":"2410.14391","title":"Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation","created":"2024-10-18","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":"2412.11187","title":"Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models","created":"2024-12-15","cited_by_count":4,"area":null},{"id":"2308.07489","title":"SOTASTREAM: A Streaming Approach to Machine Translation Training","created":"2023-08-14","cited_by_count":3,"area":null},{"id":"2401.06769","title":"Machine Translation Models are Zero-Shot Detectors of Translation Direction","created":"2024-01-12","cited_by_count":3,"area":null},{"id":"2509.14031","title":"You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models","created":"2025-09-17","cited_by_count":3,"area":null},{"id":"2410.05553","title":"On Instruction-Finetuning Neural Machine Translation Models","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2308.06063","title":"A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation","created":"2023-08-11","cited_by_count":1,"area":null},{"id":"2606.29489","title":"Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2402.06342","title":"Promoting Target Data in Context-aware Neural Machine Translation","created":"2024-02-09","cited_by_count":0,"area":null},{"id":"2502.02577","title":"A comparison of translation performance between DeepL and Supertext","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2503.17674","title":"MultiScale Contextual Bandits for Long Term Objectives","created":"2025-03-22","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":"2510.06866","title":"Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2607.14040","title":"Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2609.28117","title":"Scaling Attention Head Analysis via Gradient-Based Attribution in Context-Aware Machine Translation","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}