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Large language models (LLMs) have revolutionized various domains but still struggle with non-Latin scripts and low-resource languages.
MLQA: evaluating cross-lingual extractive question answering
Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, and Holger Schwenk. 2019 · 1910
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Balancing training for multilingual neural machine translation
Xinyi Wang, Yulia Tsvetkov, and Graham Neubig. 2020 · 2004
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Language models are few-shot learners
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Uriel and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors
Patrick Littell, David R Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, and Lori Levin. 2017 · 2017
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Learning language representations for typology prediction
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Tydi qa: A benchmark for information-seeking question answering in typologically diverse languages
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020 · 2020
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The state and fate of linguistic diversity and inclusion in the NLP world
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury. 2020 · 2020
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The impact of translating resource-rich datasets to low-resource languages through multi-lingual text processing
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Larger-scale transformers for multilingual masked language modeling
Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, and Alexis Conneau. 2021 · 2021
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Muril: Multilingual representations for indian languages
Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, et al. 2021 · 2021
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Few-shot learning with multilingual language models
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Learning to reconstruct confocal microscopy stacks from single light field images
Josué Page Vizcaíno, Federico Saltarin, Yury Belyaev, Ruth Lyck, Tobias Lasser, and Paolo Favaro. 2021 · 2021
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Discrete and soft prompting for multilingual models
Mengjie Zhao and Hinrich Schütze. 2021 · 2021
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Indicqa: A multilingual question answering dataset for 12 indic languages
AI4Bharat. 2022 · 2022
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Polyglot prompt: Multilingual multitask promptraining
Jinlan Fu, See-Kiong Ng, and Pengfei Liu. 2022 · 2022
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Zero-shot cross-lingual transfer of prompt-based tuning with a unified multilingual prompt
Lianzhe Huang, Shuming Ma, Dongdong Zhang, Furu Wei, and Houfeng Wang. 2022 · 2022
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Do multilingual language models capture differing moral norms?
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindřich Libovický, Alexander Fraser, and Kristian Kersting. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Language models are multilingual chain-of-thought reasoners
Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, et al. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Prompt tuning for generative multimodal pretrained models
Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, and Hongxia Yang. 2022 · 2022
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A survey on large language models with multilingualism: Recent advances and new frontiers
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Eliciting better multilingual structured reasoning from llms through code
Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, and Saab Mansour. 2024 · 2024
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Understanding llms: A comprehensive overview from training to inference
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, and Bao Ge. 2024 · 2024
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Xiangyan Liu, Rongxue Li, Wei Ji, and Tao Lin. 2023 · 2023
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Prompting reflection: Using corpus linguistic methods in the local assessment of reflective writing
Cara Marta Messina, Cherice Escobar Jones, and Mya Poe. 2023 · 2023
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Gemini: a family of highly capable multimodal models
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Llama 2: Open foundation and fine-tuned chat models
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Multiple: Multilingual prompt learning for relieving semantic confusions in few-shot event detection
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Phi-3 technical report: A highly capable language model locally on your phone
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Translation errors significantly impact low-resource languages in cross-lingual learning
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