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In recent years, there have been significant breakthroughs in the field of natural language processing, particularly with the development of large language models (LLMs).
Huggingface’s transformers: State-of-the-art natural language processing (2020)
Wolf, T. et al · 1910
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Nltk: The natural language toolkit (2002)
Loper, E. & Bird, S · 2002
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Bleu: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T. & Zhu, W.-J · 2002
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From wer and ril to mer and wil: improved evaluation measures for connected speech recognition
Morris, A. C., Maier, V. & Green, P · 2004
Earlier work this paper cites.
Efficient estimation of word representations in vector space (2013)
Mikolov, T., Chen, K., Corrado, G. & Dean, J · 2013
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Attention is all you need
Vaswani, A. et al · 2017
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Performance analysis of google colaboratory as a tool for accelerating deep learning applications
Carneiro, T. et al · 2018
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Word error rate estimation for speech recognition: e-wer
Ali, A. & Renals, S · 2018
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8-bit optimizers via block-wise quantization (2022)
Dettmers, T., Lewis, M., Shleifer, S. & Zettlemoyer, L · 2022
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Llm.int8(): 8-bit matrix multiplication for transformers at scale (2022)
Dettmers, T., Lewis, M., Belkada, Y. & Zettlemoyer, L · 2022
Earlier work this paper cites.
Investigating causal understanding in llms
Hobbhahn, M., Lieberum, T. & Seiler, D · 2022
Cited alongside, same era.
Chat generative pretrained transformer fails the multiple-choice american college of gastroenterology self-assessment test
Suchman, K., Garg, S. & Trindade, A. J · 2022
Cited alongside, same era.
Solving quantitative reasoning problems with language models (2022)
Lewkowycz, A. et al · 2022
Cited alongside, same era.
Summary of chatgpt/gpt-4 research and perspective towards the future of large language models (2023)
Liu, Y. et al · 2023
Cited alongside, same era.
Capabilities of gpt-4 on medical challenge problems (2023)
Nori, H., King, N., McKinney, S. M., Carignan, D. & Horvitz, E · 2023
Cited alongside, same era.
Gpt-4 technical report (2023)
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Chiang, W.-L. et al · 2023
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The refinedweb dataset for falcon llm: Outperforming curated corpora with web data, and web data only (2023)
Penedo, G. et al · 2023
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orca-mini-13b: An explain tuned openllama-13b model on custom wizardlm, alpaca, and dolly datasets
Mathur, P · 2023
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Falcon-40B: an open large language model with state-of-the-art performance (2023)
Almazrouei, E. et al · 2023
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https://cloud.google.com/translate/automl/docs/evaluate
Evaluating models,understanding the bleu score · 2023
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https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-custom-speech-evaluate-data?pivots=speech-studio
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OpenAI · 2023
Cited alongside, same era.
Orca: Progressive learning from complex explanation traces of gpt-4 (2023)
Mukherjee, S. et al · 2023
Cited alongside, same era.
Stanford alpaca: An instruction-following llama model
Taori, R. et al · 2023
Cited alongside, same era.
Koala: A dialogue model for academic research
Seita, D. & Geng, X. A · 2023
Cited alongside, same era.
Model card and evaluations for claude models
Models, C
Cited in the paper.
Test accuracy of a custom speech model, resolve errors and improve wer · 2023
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Full parameter fine-tuning for large language models with limited resources (2023)
Lv, K. et al · 2023
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A survey of large language models (2023)
Zhao, W. X. et al · 2023
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Assessing the accuracy of chatgpt on core questions in glomerular disease
Miao, J., Thongprayoon, C. & Cheungpasitporn, W · 2023
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