Vikas Raunak

According to our database1, Vikas Raunak authored at least 27 papers between 2017 and 2024.

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Bibliography

2024
On Instruction-Finetuning Neural Machine Translation Models.
CoRR, 2024

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Dissecting In-Context Learning of Translations in GPTs.
CoRR, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.
CoRR, 2023

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.
CoRR, 2023

Evaluating Metrics for Document-context Evaluation in Machine Translation.
Proceedings of the Eighth Conference on Machine Translation, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting In-Context Learning of Translations in GPT-3.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Do GPTs Produce Less Literal Translations?
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.
CoRR, 2022

Rank-One Editing of Encoder-Decoder Models.
CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

SALTED: A Framework for SAlient Long-tail Translation Error Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

The Curious Case of Hallucinations in Neural Machine Translation.
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.
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.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On Long-Tailed Phenomena in Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Ranking Clarification Questions via Natural Language Inference.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
On Compositionality in Neural Machine Translation.
CoRR, 2019

Effective Dimensionality Reduction for Word Embeddings.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

On Leveraging the Visual Modality for Neural Machine Translation.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Learned in Speech Recognition: Contextual Acoustic Word Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Effective Dimensionality Reduction for Word Embeddings.
CoRR, 2017


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