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Historically, LLMs have been trained using either autoregressive (AR) or masked language modeling (MLM) objectives, with AR models gaining dominance in recent years.
The curious case of neural text degeneration, 2020
Holtzman, A., Buys, J., Du, L., Forbes, M., and Choi, Y · 1904
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Simulated annealing
Bertsimas, D. and Tsitsiklis, J · 1993
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Training products of experts by minimizing contrastive divergence
Hinton, G. E · 2002
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Introduction to the conll-2003 shared task: Language-independent named entity recognition, 2003
Sang, E. F. T. K. and Meulder, F. D · 2003
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Denoising diffusion probabilistic models, 2020
Ho, J., Jain, A., and Abbeel, P · 2006
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Part-of-speech tagging from 97% to 100%: is it time for some linguistics?
Manning, C. D · 2011
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One billion word benchmark for measuring progress in statistical language modeling, 2014
Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., and Robinson, T · 2014
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Pointer sentinel mixture models, 2016
Merity, S., Xiong, C., Bradbury, J., and Socher, R · 2016
Earlier work this paper cites.
The lambada dataset: Word prediction requiring a broad discourse context, 2016
Paperno, D., Kruszewski, G., Lazaridou, A., Pham, Q. N., Bernardi, R., Pezzelle, S., Baroni, M., Boleda, G., and Fernández, R · 2016
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Character-level convolutional networks for text classification, 2016
Zhang, X., Zhao, J., and LeCun, Y · 2016
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Attention is all you need
Vaswani, A · 2017
Earlier work this paper cites.
On the use of arxiv as a dataset, 2019
Clement, C. B., Bierbaum, M., O’Keeffe, K. P., and Alemi, A. A · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2019
Earlier work this paper cites.
Lewis, M · 2019
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Language models are unsupervised multitask learners
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al · 2019
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Enabling language models to fill in the blanks
Donahue, C., Lee, M., and Liang, P · 2020
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Multi-task learning based pre-trained language model for code completion
Liu, F., Li, G., Zhao, Y., and Jin, Z · 2020
Cited alongside, same era.
Autoregressive diffusion models
Hoogeboom, E., Gritsenko, A. A., Bastings, J., Poole, B., van den Berg, R., and Salimans, T · 2021
Cited alongside, same era.
Dexperts: Decoding-time controlled text generation with experts and anti-experts
Liu, A., Sap, M., Lu, X., Swayamdipta, S., Bhagavatula, C., Smith, N. A., and Choi, Y · 2021
Cited alongside, same era.
Glm: General language model pretraining with autoregressive blank infilling, 2022
Du, Z., Qian, Y., Liu, X., Ding, M., Qiu, J., Yang, Z., and Tang, J · 2022
Cited alongside, same era.
Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
A survey of large language models
Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., et al · 2023
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Chatbot arena: An open platform for evaluating llms by human preference, 2024
Chiang, W.-L., Zheng, L., Sheng, Y., Angelopoulos, A. N., Li, T., Li, D., Zhang, H., Zhu, B., Jordan, M., Gonzalez, J. E., and Stoica, I · 2024
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Scaling diffusion language models via adaptation from autoregressive models
Gong, S., Agarwal, S., Zhang, Y., Ye, J., Zheng, L., Li, M., An, C., Zhao, P., Bi, W., Han, J., et al · 2024
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The llama 3 herd of models, 2024
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Lee, M., Liang, P., and Yang, Q · 2022
Cited alongside, same era.
Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al · 2023
Cited alongside, same era.
Incoder: A generative model for code infilling and synthesis, 2023
Fried, D., Aghajanyan, A., Lin, J., Wang, S., Wallace, E., Shi, F., Zhong, R., tau Yih, W., Zettlemoyer, L., and Lewis, M · 2023
Cited alongside, same era.
Likelihood-based diffusion language models, 2023
Gulrajani, I. and Hashimoto, T. B · 2023
Cited alongside, same era.
Variational diffusion models, 2023
Kingma, D. P., Salimans, T., Poole, B., and Ho, J · 2023
Cited alongside, same era.
Efficient memory management for large language model serving with pagedattention
Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J., Zhang, H., and Stoica, I · 2023
Cited alongside, same era.
Discrete diffusion language modeling by estimating the ratios of the data distribution
Lou, A., Meng, C., and Ermon, S · 2023
Cited alongside, same era.
Meet in the middle: A new pre-training paradigm, 2023
Nguyen, A., Karampatziakis, N., and Chen, W · 2023
Cited alongside, same era.
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Olmo: Accelerating the science of language models
Groeneveld, D., Beltagy, I., Walsh, P., Bhagia, A., Kinney, R., Tafjord, O., Jha, A. H., Ivison, H., Magnusson, I., Wang, Y., et al · 2024
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Scaling up masked diffusion models on text, 2024
Nie, S., Zhu, F., Du, C., Pang, T., Liu, Q., Zeng, G., Lin, M., and Li, C · 2024
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Your absorbing discrete diffusion secretly models the conditional distributions of clean data, 2024
Ou, J., Nie, S., Xue, K., Zhu, F., Sun, J., Li, Z., and Li, C · 2024
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The fineweb datasets: Decanting the web for the finest text data at scale, 2024
Penedo, G., Kydlíček, H., allal, L. B., Lozhkov, A., Mitchell, M., Raffel, C., Werra, L. V., and Wolf, T · 2024
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Simple and effective masked diffusion language models, 2024
Sahoo, S. S., Arriola, M., Schiff, Y., Gokaslan, A., Marroquin, E., Chiu, J. T., Rush, A., and Kuleshov, V · 2024
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Scaling smart: Accelerating large language model pre-training with small model initialization
Samragh, M., Mirzadeh, I., Vahid, K. A., Faghri, F., Cho, M., Nabi, M., Naik, D., and Farajtabar, M · 2024
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Berts are generative in-context learners, 2024
Samuel, D · 2024
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Warner, B., Chaffin, A., Clavié, B., Weller, O., Hallström, O., Taghadouini, S., Gallagher, A., Biswas, R., Ladhak, F., Aarsen, T., et al · 2024
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Fofo: A benchmark to evaluate llms’ format-following capability
Xia, C., Xing, C., Du, J., Yang, X., Feng, Y., Xu, R., Yin, W., and Xiong, C · 2024
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Antlm: Bridging causal and masked language models, 2024
Yu, X., Guo, B., Luo, S., Wang, J., Ji, T., and Wu, Y · 2024
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Prepacking: A simple method for fast prefilling and increased throughput in large language models
Zhao, S., Israel, D., Broeck, G. V. d., and Grover, A · 2024
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