Vikas Raunak

Hong Kong College of Technology — China

Computer Science · Physical Sciences

14h-index1.5kcitations45works0.62yr avg
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Research Topics

Natural Language Processing Techniques(35), Topic Modeling(32), Multimodal Machine Learning Applications(8), Speech Recognition and Synthesis(6), Text Readability and Simplification(6)

Publications43 total

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
arXiv (Cornell University)·2025Open Access
Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation
arXiv (Cornell University)·2025Open Access
Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation
2025· 2 citedOpen Access
Machine Learning Algorithms for Early Detection of Depressive Disorder
SSRN Electronic Journal·2025Open Access
On Instruction-Finetuning Neural Machine Translation Models
arXiv (Cornell University)·2024Open Access
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window
2024· 1 citedOpen Access
On Instruction-Finetuning Neural Machine Translation Models
2024· 1 citedOpen Access
Dissecting In-Context Learning of Translations in GPTs
arXiv (Cornell University)·2023· 1 citedOpen Access
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window
arXiv (Cornell University)·2023Open Access
Do GPTs Produce Less Literal Translations?
arXiv (Cornell University)·2023· 1 citedOpen Access
Leveraging GPT-4 for Automatic Translation Post-Editing
arXiv (Cornell University)·2023· 3 citedOpen Access
NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation
Northern European Journal of Language Technology·2023· 6 citedOpen Access
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
arXiv (Cornell University)·2023· 181 citedOpen Access
Leveraging GPT-4 for Automatic Translation Post-Editing
2023· 30 citedOpen Access
Do GPTs Produce Less Literal Translations?
2023· 15 citedOpen Access
Dissecting In-Context Learning of Translations in GPT-3
2023· 2 citedOpen Access
Evaluating Metrics for Document-context Evaluation in Machine Translation
2023· 2 citedOpen Access
Rank-One Editing of Encoder-Decoder Models
arXiv (Cornell University)·2022Open Access
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
arXiv (Cornell University)·2022Open Access
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Arul Menezes(13), Florian Metze(8), Matt Post(8), Sebastian Gehrmann(6), Kaustubh Dhole(6), Ondřej Dušek(6), Saad Mahamood(6), Simon Mille(6), Hany Hassan Awadalla(4), Tosin Adewumi(4), Pawan Sasanka Ammanamanchi(4), Khyathi Raghavi Chandu(4), Esin Durmus(4), Varun Gangal(4), Cristina Gârbacea(4), Yufang Hou(4), Yacine Jernite(4), Shailza Jolly(4), Mihir Kale(4), Faisal Ladhak(4)