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ORCIDVikas Raunak
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2020 – today
- 2023
[c11]Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan:
Do GPTs Produce Less Literal Translations? ACL (2) 2023: 1041-1050- [i20]Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim
, Mohamed Afify, Hany Hassan Awadalla:
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation. CoRR abs/2302.09210 (2023) - [i19]Vikas Raunak, Amr Sharaf, Hany Hassan Awadallah, Arul Menezes:
Leveraging GPT-4 for Automatic Translation Post-Editing. CoRR abs/2305.14878 (2023) - [i18]Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan Awadalla:
Do GPTs Produce Less Literal Translations? CoRR abs/2305.16806 (2023) - [i17]Vikas Raunak, Tom Kocmi, Matt Post:
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window. CoRR abs/2309.08832 (2023) - [i16]Vikas Raunak, Hany Hassan Awadalla, Arul Menezes:
Dissecting In-Context Learning of Translations in GPTs. CoRR abs/2310.15987 (2023) - 2022
- [c10]Vikas Raunak, Arul Menezes:
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks. EMNLP (Findings) 2022: 5153-5162 - [c9]Vikas Raunak, Matt Post, Arul Menezes:
SALTED: A Framework for SAlient Long-tail Translation Error Detection. EMNLP (Findings) 2022: 5163-5179 - [i15]Vikas Raunak, Matt Post, Arul Menezes:
SALTED: A Framework for SAlient Long-Tail Translation Error Detection. CoRR abs/2205.09988 (2022) - [i14]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:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i13]Vikas Raunak, Arul Menezes:
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks. CoRR abs/2210.12929 (2022) - [i12]Vikas Raunak, Arul Menezes:
Rank-One Editing of Encoder-Decoder Models. CoRR abs/2211.13317 (2022) - [i11]Vikas Raunak, Matt Post, Arul Menezes:
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models. CoRR abs/2212.00006 (2022) - 2021
- [c8]Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt:
The Curious Case of Hallucinations in Neural Machine Translation. NAACL-HLT 2021: 1172-1183 - [c7]Siddharth Dalmia, Brian Yan, Vikas Raunak, Florian Metze, Shinji Watanabe:
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks. NAACL-HLT 2021: 1882-1896 - [i10]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:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i9]Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt:
The Curious Case of Hallucinations in Neural Machine Translation. CoRR abs/2104.06683 (2021) - [i8]Siddharth Dalmia, Brian Yan, Vikas Raunak, Florian Metze, Shinji Watanabe:
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks. CoRR abs/2105.00573 (2021) - 2020
- [c6]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CIKM 2020: 2093-2096 - [c5]Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze:
On Long-Tailed Phenomena in Neural Machine Translation. EMNLP (Findings) 2020: 3088-3095 - [c4]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. RepL4NLP@ACL 2020: 156-165 - [i7]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CoRR abs/2008.07688 (2020) - [i6]Vikas Raunak, Siddharth Dalmia, Vivek Gupta, Florian Metze:
On Long-Tailed Phenomena in Neural Machine Translation. CoRR abs/2010.04924 (2020)
2010 – 2019
- 2019
- [c3]Shruti Palaskar, Vikas Raunak, Florian Metze:
Learned in Speech Recognition: Contextual Acoustic Word Embeddings. ICASSP 2019: 6530-6534 - [c2]Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze:
On Leveraging the Visual Modality for Neural Machine Translation. INLG 2019: 147-151 - [c1]Vikas Raunak, Vivek Gupta, Florian Metze:
Effective Dimensionality Reduction for Word Embeddings. RepL4NLP@ACL 2019: 235-243 - [i5]Shruti Palaskar, Vikas Raunak, Florian Metze:
Learned In Speech Recognition: Contextual Acoustic Word Embeddings. CoRR abs/1902.06833 (2019) - [i4]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. CoRR abs/1910.02211 (2019) - [i3]Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze:
On Leveraging the Visual Modality for Neural Machine Translation. CoRR abs/1910.02754 (2019) - [i2]Vikas Raunak, Vaibhav Kumar, Florian Metze:
On Compositionality in Neural Machine Translation. CoRR abs/1911.01497 (2019) - 2017
- [i1]Vikas Raunak:
Effective Dimensionality Reduction for Word Embeddings. CoRR abs/1708.03629 (2017)
Coauthor Index
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last updated on 2023-11-02 23:10 CET by the dblp team
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