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Large Language Models (LLMs) have achieved impressive results across numerous NLP tasks but still encounter difficulties in machine translation.
Catastrophic interference in connectionist networks: Can it be predicted, can it be prevented?
Robert M. French · 1993
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Lifelong Machine Learning, Second Edition
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Training verifiers to solve math word problems
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The flores-101 evaluation benchmark for low-resource and multilingual machine translation
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Lora: Low-rank adaptation of large language models
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COMET-22: unbabel-ist 2022 submission for the metrics shared task
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Fine-tuned language models are continual learners
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
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Contintin: Continual learning from task instructions
Wenpeng Yin, Jia Li, and Caiming Xiong · 2022
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Specializing smaller language models towards multi-step reasoning
Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, and Tushar Khot · 2023
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Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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Parrot: Translating during chat using large language models tuned with human translation and feedback
Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, and Zhaopeng Tu · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica · 2023
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Large-scale lifelong learning of in-context instructions and how to tackle it
Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, and Sungroh Yoon · 2023
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Llama 2: Open foundation and fine-tuned chat models
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A framework for few-shot language model evaluation, 07 2024
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Walledeval: A comprehensive safety evaluation toolkit for large language models
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Don’t half-listen: Capturing key-part information in continual instruction tuning
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SCOTT: self-consistent chain-of-thought distillation
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Wen Yang, Chong Li, Jiajun Zhang, and Chengqing Zong · 2023
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Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, and Yang Feng · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
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Universal and transferable adversarial attacks on aligned language models
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The llama 3 herd of models
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Length-controlled alpacaeval: A simple way to debias automatic evaluators
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Inscl: A data-efficient continual learning paradigm for fine-tuning large language models with instructions
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Continual learning for large language models: A survey
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LESS: selecting influential data for targeted instruction tuning
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A paradigm shift in machine translation: Boosting translation performance of large language models
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Preemptive answer ”attacks” on chain-of-thought reasoning
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Self-distillation bridges distribution gap in language model fine-tuning
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Llamafactory: Unified efficient fine-tuning of 100+ language models
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