cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE. - Lifeng Han; Irina Sorokina; Gleb Erofeev; Serge Gladkoff (WMT@EMNLP, 2021)

CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements. - Lifeng Han; Irina Sorokina; Gleb Erofeev; Serge Gladkoff (CoRR, 2021)

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (WMT, 2022)

Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (CoRR, 2022)

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (ClinicalNLP@ACL, 2023)

Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? - Serge Gladkoff; Gleb Erofeev; Lifeng Han; Goran Nenadic (CoRR, 2023)

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs. - Serge Gladkoff; Lifeng Han; Gleb Erofeev; Irina Sorokina; Goran Nenadic (EAMT (1), 2024)

ACR: A Benchmark for Automatic Cohort Retrieval. - Dung Ngoc Thai; Victor Ardulov; Jose Ulises Mena; Simran Tiwari; Gleb Erofeev; Ramy Eskander; Karim Tarabishy; Ravi B. Parikh; Wael Salloum (CoRR, 2024)

Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning. - Lifeng Han; Serge Gladkoff; Gleb Erofeev; Irina Sorokina; Betty Galiano; Goran Nenadic (Frontiers Digit. Health, 2024)