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Multilingual large language models are designed, claimed, and expected to cater to speakers of varied languages.
Translationese in Swedish novels translated from English
Martin Gellerstam. 1986 · 1986
Earlier work this paper cites.
Corpus-based Translation Studies: The Challenges that Lie Ahead
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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LoRA: Low-rank adaptation of large language models
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Training language models to follow instructions with human feedback
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Multitask prompted training enables zero-shot task generalization
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Earlier work this paper cites.
Finetuned language models are zero-shot learners
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Earlier work this paper cites.
MEGA: Multilingual evaluation of generative AI
Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, and Sunayana Sitaram. 2023 · 2023
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