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The development of generative large language models (G-LLM) opened up new opportunities for the development of new types of knowledge-based systems similar to ChatGPT, Bing, or Gemini.
Papineni, K.; Roukos, S.; Ward, T.; Zhu, W.-J. Bleu: a Method for Automatic Evaluation of Machine Translation. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Philadelphia, Pennsylvania, USA, 2002; pp 311–318
2002
Earlier work this paper cites.
Lin, C.-Y. ROUGE: A Package for Automatic Evaluation of Summaries. Text Summarization Branches Out. Barcelona, Spain, 2004; pp 74–81
2004
Earlier work this paper cites.
Banerjee, S.; Lavie, A. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization. Ann Arbor, Michigan, 2005; pp 65–72
2005
Earlier work this paper cites.
Lawrence, N. D. The Journal of Machine Learning Research 2012
2012
Earlier work this paper cites.
Campello, R. J.; Moulavi, D.; Zimek, A.; Sander, J. ACM Transactions on Knowledge Discovery from Data (TKDD) 2015
2015
Earlier work this paper cites.
Devlin, J.; Chang, M.-W.; Lee, K.; Toutanova, K. arXiv preprint arXiv:1810.04805 2018
2018
Earlier work this paper cites.
Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.; others Improving language understanding by generative pre-training. 2018
2018
Earlier work this paper cites.
2019
Earlier work this paper cites.
Paszke, A. et al. Advances in Neural Information Processing Systems 32 ; Curran Associates, Inc., 2019; pp 8024–8035
2019
Cited alongside, same era.
Reimers, N.; Gurevych, I. arXiv preprint arXiv:1908.10084 2019
2019
Cited alongside, same era.
Wang, L. L.; Lo, K.; Chandrasekhar, Y.; Reas, R.; Yang, J.; Burdick, D.; Eide, D.; Funk, K.; Katsis, Y.; Kinney, R.; others ArXiv 2020
2020
Cited alongside, same era.
Wolf, T. et al. HuggingFace’s Transformers: State-of-the-art Natural Language Processing. 2020
2020
Cited alongside, same era.
Wang, W.; Wei, F.; Dong, L.; Bao, H.; Yang, N.; Zhou, M. MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. 2020
2020
Cited alongside, same era.
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; Rodriguez, A.; Joulin, A.; Grave, E.; Lample, G. LLaMA: Open and Efficient Foundation Language Models. 2023
2023
Later among the works it cites.
Romera-Paredes, B.; Barekatain, M.; Novikov, A.; Balog, M.; Kumar, M. P.; Dupont, E.; Ruiz, F. J.; Ellenberg, J. S.; Wang, P.; Fawzi, O.; others Nature 2023
2023
Later among the works it cites.
Taori, R.; Gulrajani, I.; Zhang, T.; Dubois, Y.; Li, X.; Guestrin, C.; Liang, P.; Hashimoto, T. B. Stanford Alpaca: An Instruction-following LLaMA model. https://github.com/tatsu-lab/stanford_alpaca , 2023
2023
Later among the works it cites.
OpenAI OpenAI. 2024; https://openai.com/ , Accessed on March 12, 2024
2024
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OpenAI ChatGPT. 2024; https://chat.openai.com/ , Accessed on March 12, 2024
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Wang, B.; Komatsuzaki, A. GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model. https://github.com/kingoflolz/mesh-transformer-jax , 2021
2021
Cited alongside, same era.
Chowdhery, A. et al. PaLM: Scaling Language Modeling with Pathways. 2022
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2024
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Microsoft Microsoft Bing Search. 2024; https://www.bing.com/ , Accessed on March 12, 2024
2024
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AI, G. Gemini. 2024; https://gemini.google.com , Accessed on March 12, 2024
2024
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Voidful Context Only Question Generator. 2024; https://huggingface.co/voidful/context-only-question-generator , Accessed on January 01, 2024
2024
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