Vikas Raunak

According to our database, Vikas Raunak authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dissecting In-Context Learning of Translations in GPTs.

Vikas Raunak, Hany Hassan Awadalla, Arul Menezes

CoRR, 2023

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window.

Vikas Raunak, Tom Kocmi, Matt Post

CoRR, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.

Vikas Raunak, Amr Sharaf, Hany Hassan Awadallah, Arul Menezes

CoRR, 2023

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, Hany Hassan Awadalla

CoRR, 2023

Evaluating Metrics for Document-context Evaluation in Machine Translation.

Vikas Raunak, Tom Kocmi, Matt Post

Proceedings of the Eighth Conference on Machine Translation, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.

Vikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting In-Context Learning of Translations in GPT-3.

Vikas Raunak, Arul Menezes, Hany Hassan Awadalla

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Do GPTs Produce Less Literal Translations?

Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models.

Vikas Raunak, Matt Post, Arul Menezes

CoRR, 2022

Rank-One Editing of Encoder-Decoder Models.

Vikas Raunak, Arul Menezes

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

SALTED: A Framework for SAlient Long-tail Translation Error Detection.

Vikas Raunak, Matt Post, Arul Menezes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks.

Vikas Raunak, Arul Menezes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

The Curious Case of Hallucinations in Neural Machine Translation.

Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks.

Siddharth Dalmia, Brian Yan, Vikas Raunak, Florian Metze, Shinji Watanabe

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

On Dimensional Linguistic Properties of the Word Embedding Space.

Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On Long-Tailed Phenomena in Neural Machine Translation.

Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Ranking Clarification Questions via Natural Language Inference.

Vaibhav Kumar, Vikas Raunak, Jamie Callan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

On Compositionality in Neural Machine Translation.

Vikas Raunak, Vaibhav Kumar, Florian Metze

CoRR, 2019

Effective Dimensionality Reduction for Word Embeddings.

Vikas Raunak, Vivek Gupta, Florian Metze

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

On Leveraging the Visual Modality for Neural Machine Translation.

Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze

Proceedings of the 12th International Conference on Natural Language Generation, 2019

Learned in Speech Recognition: Contextual Acoustic Word Embeddings.

Shruti Palaskar, Vikas Raunak, Florian Metze

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Effective Dimensionality Reduction for Word Embeddings.

Vikas Raunak

CoRR, 2017