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Large Language Models (LLM) hold immense promise for real-world applications, but their generic knowledge often falls short of domain-specific needs.
Language models are few-shot learners,
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning,
Y. Luo, Z. Yang, F. Meng, Y. Li, J. Zhou, Y. Zhang, · 2023
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The reversal curse: Llms trained on ”a is b” fail to learn ”b is a”,
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Transformers as statisticians: Provable in-context learning with in-context algorithm selection,
Y. Bai, F. Chen, H. Wang, C. Xiong, S. Mei, · 2023
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In-Context Retrieval-Augmented Language Models,
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Parallelizing exploration-exploitation tradeoffs in gaussian process bandit optimization,
T. Desautels, A. Krause, J. W. Burdick, · 2014
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BERT: Pre-training of deep bidirectional transformers for language understanding,
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Dgcn: Diversified recommendation with graph convolutional networks,
Y. Zheng, C. Gao, L. Chen, D. Jin, Y. Li, · 2021
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Truthfulqa: Measuring how models mimic human falsehoods,
S. C. Lin, J. Hilton, O. Evans, · 2021
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Large language models are zero-shot reasoners,
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, Y. Iwasawa, · 2022
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Generate rather than retrieve: Large language models are strong context generators,
W. Yu, D. Iter, S. Wang, Y. Xu, M. Ju, S. Sanyal, C. Zhu, M. Zeng, M. Jiang, · 2023
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H. Gonen, S. Iyer, T. Blevins, N. Smith, L. Zettlemoyer, · 2023
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Compositional exemplars for in-context learning,
J. Ye, Z. Wu, J. Feng, T. Yu, L. Kong, · 2023
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Diverse demonstrations improve in-context compositional generalization,
I. Levy, B. Bogin, J. Berant, · 2023
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Selective annotation makes language models better few-shot learners,
H. Su, J. Kasai, C. H. Wu, W. Shi, T. Wang, J. Xin, R. Z. 0037, M. Ostendorf, L. Zettlemoyer, N. A. Smith, T. Y. 0009, · 2023
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X. Ye, S. Iyer, A. Celikyilmaz, V. Stoyanov, G. Durrett, R. Pasunuru, · 2023
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Direct preference optimization: Your language model is secretly a reward model,
R. Rafailov, A. Sharma, E. Mitchell, C. D. Manning, S. Ermon, C. Finn, · 2023
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A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. Singh Chaplot, D. de las Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, L. Renard Lavaud, M.-A. Lachaux, P. Stock, T. Le Scao, T. Lavril, T. Wang, T. Lacroix, W. El Sayed, · 2023
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LLM In-Context Recall is Prompt Dependent,
D. Machlab, R. Battle, · 2024
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Learning to retrieve in-context examples for large language models,
L. Wang, N. Yang, F. Wei, · 2024
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