Title |
|---|
 DelTA: An Online Document-Level Translation Agent Based on Multi-Level MemoryInternational Conference on Learning Representations (ICLR), 2024 |
 Large Language Model for Multi-Domain Translation: Benchmarking and
Domain CoT Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 Efficient Memory Management for Large Language Model Serving with
PagedAttentionSymposium on Operating Systems Principles (SOSP), 2023 |
 TIM: Teaching Large Language Models to Translate with ComparisonAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Towards Accurate Translation via Semantically Appropriate Application of
Lexical ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Prompting Large Language Model for Machine Translation: A Case StudyInternational Conference on Machine Learning (ICML), 2023 |
 In-context Examples Selection for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 DICTDIS: Dictionary Constrained Disambiguation for Improved NMTConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021 |
 Word Alignment by Fine-tuning Embeddings on Parallel CorporaConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Zi-Yi Dou Graham Neubig |
 Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020 |
 Unsupervised Domain Clusters in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Multi-Domain Neural Machine Translation with Word-Level Adaptive
Layer-wise Domain MixingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 |
 A Call for Clarity in Reporting BLEU ScoresConference on Machine Translation (WMT), 2018 |
 |
 Domain Control for Neural Machine TranslationRecent Advances in Natural Language Processing (RANLP), 2016 |
