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Marzena Karpinska
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
K Krishna, Y Song, M Karpinska, J Wieting, M Iyyer
Advances in Neural Information Processing Systems 36, 2024
2322024
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
M Karpinska, N Akoury, M Iyyer
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
1102021
Large language models effectively leverage document-level context for literary translation, but critical errors persist
M Karpinska, M Iyyer
Proceedings of the Eighth Conference on Machine Translation, 2023
772023
Emoticons: Digital Lingua Franca or a Culture-Specific Product Leading to Misunderstandings?
M Karpinska, P Kurzawska, K Rozanska
Emoticons, Kaomoji, and Emoji (Routledge), 67-81, 2019
68*2019
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
K Thai*, M Karpinska*, K Krishna, W Ray, M Inghilleri, J Wieting, M Iyyer
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
402022
DEMETR: Diagnosing Evaluation Metrics for Translation
M Karpinska, N Raj, K Thai, Y Song, A Gupta, M Iyyer
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
292022
Subcharacter information in Japanese embeddings: When is it worth it?
M Karpinska, B Li, A Rogers, A Drozd
Proceedings of the Workshop on the Relevance of Linguistic Structure in …, 2018
242018
FABLES: Evaluating faithfulness and content selection in book-length summarization
Y Kim, Y Chang, M Karpinska, A Garimella, V Manjunatha, K Lo, T Goyal, ...
arXiv preprint arXiv:2404.01261 (to appear at COLM), 2024
162024
Preliminary wmt24 ranking of general mt systems and llms
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
arXiv preprint arXiv:2407.19884, 2024
92024
One Thousand and One Pairs: A" novel" challenge for long-context language models
M Karpinska, K Thai, K Lo, T Goyal, M Iyyer
arXiv preprint arXiv:2406.16264 (to appear at EMNLP), 2024
92024
Program Chairs’ Report on Peer Review at ACL 2023
A Rogers, M Karpinska, J Boyd-Graber, N Okazaki
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
82023
Aurora-m: The first open source multilingual language model red-teamed according to the us executive order
T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ...
arXiv preprint arXiv:2404.00399, 2024
72024
Findings of the WMT24 general machine translation shared task: the LLM era is here but mt is not solved yet
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
Proceedings of the Ninth Conference on Machine Translation, 1–46, 2024
72024
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
A Gupta, M Karpinska, W Zhao, K Krishna, J Merullo, L Yeh, M Iyyer, ...
Findings of the Association for Computational Linguistics: EACL 2023, 2022
52022
Vowel perception by listeners from different English dialects.
M Karpinska, S Uchida, I Grenon
Proceedings of the 18th International Congress of Phonetic Sciences, 2015
42015
NarrativeTime: Dense Temporal Annotation on a Timeline
A Rogers, M Karpinska, A Gupta, V Lialin, G Smelkov, A Rumshisky
LREC-COLING 2024, 2024
3*2024
Revisiting Statistical Laws of Semantic Shift in Romance Cognates
Y Kawasaki, M Salingre, M Karpinska, H Takamura, R Nagata
Proceedings of the 29th International Conference on Computational …, 2022
32022
The Discourse of Kyōyō and English Education in Japan
K Yamamura, R Gakutani, M Karpinska, T Tanojiri, T Gally
Komaba Journal of English Education: KJEE, 49-65, 2019
32019
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
S Arora, M Karpinska, HT Chen, I Bhattacharjee, M Iyyer, E Choi
arXiv preprint arXiv:2406.17761, 2024
22024
How accented do Caucasian-looking vs. Asian-looking native speakers sound to a Japanese listener
M Karpinska
Proceedings of the 19th International Congress of Phonetic Sciences …, 2019
22019
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Articles 1–20