| 2025 | ACL | Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation. | Verna Dankers, Vikas Raunak |
| 2024 | NAACL | SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window. | Vikas Raunak, Tom Kocmi, Matt Post |
| 2023 | ACL | Do GPTs Produce Less Literal Translations? | Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan |
| 2023 | EMNLP | Dissecting In-Context Learning of Translations in GPT-3. | Vikas Raunak, Arul Menezes, Hany Hassan Awadalla |
| 2023 | EMNLP | Leveraging GPT-4 for Automatic Translation Post-Editing. | Vikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes |
| 2022 | EMNLP | Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks. | Vikas Raunak, Arul Menezes |
| 2022 | EMNLP | SALTED: A Framework for SAlient Long-tail Translation Error Detection. | Vikas Raunak, Matt Post, Arul Menezes |
| 2021 | NAACL | Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks. | Siddharth Dalmia, Brian Yan, Vikas Raunak, Florian Metze, Shinji Watanabe |
| 2021 | NAACL | The Curious Case of Hallucinations in Neural Machine Translation. | Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt |
| 2020 | CIKM | Ranking Clarification Questions via Natural Language Inference. | Vaibhav Kumar, Vikas Raunak, Jamie Callan |
| 2020 | EMNLP | On Long-Tailed Phenomena in Neural Machine Translation. | Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze |
| 2019 | ICASSP | Learned in Speech Recognition: Contextual Acoustic Word Embeddings. | Shruti Palaskar, Vikas Raunak, Florian Metze |
| 2019 | INLG | On Leveraging the Visual Modality for Neural Machine Translation. | Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze |