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The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software.
Identity-based proxy-oriented data uploading and remote data integrity checking in public cloud
Wang, H., He, D., and Tang, S · 2016
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., Zhang, Z., and Radev, D · 2018
Earlier work this paper cites.
Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Kuttler, H., Lewis, M., tau Yih, W., Rocktäschel, T., Riedel, S., and Kiela, D · 2020
Earlier work this paper cites.
Evaluating large language models trained on code , 2021
Chen, M., Tworek, J., Jun, H., Yuan, Q., de Oliveira Pinto, H. P., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., Ray, A., Puri, R., Krueger, G., Petrov, M., Khlaaf, H., Sastry, G., Mishkin, P., Chan, B., Gray, S., Ryder, N., Pavlov, M., Power, A., Kaiser, L., Bavarian, M., Winter, C., Tillet, P., Such, F. P., Cummings, D., Plappert, M., Chantzis, F., Barnes, E., Herbert-Voss, A., Guss, W. H., Nichol, A., Paino, A., Tezak, N., Tang, J., Babuschkin, I., Balaji, S., Jain, S., Saunders, W., Hesse, C., Carr, A. N., Leike, J., Achiam, J., Misra, V., Morikawa, E., Radford, A., Knight, M., Brundage, M., Murati, M., Mayer, K., Welinder, P., McGrew, B., Amodei, D., McCandlish, S., Sutskever, I., and Zaremba, W · 2021
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OceanBase , 2021
Group, A · 2021
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Text Generation Inference , May 2021
Huggingface · 2021
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Webgpt: Browser-assisted question-answering with human feedback
Nakano, R., Hilton, J., Balaji, S., Wu, J., Ouyang, L., Kim, C., Hesse, C., Jain, S., Kosaraju, V., Saunders, W., et al · 2021
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TensorRT , May 2021
NVIDIA · 2021
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A graph regularized point process model for event propagation sequence
Xue, S., Shi, X., Hao, H., Ma, L., Zhang, J., Wang, S., and Wang, S · 2021
Earlier work this paper cites.
Calibrate before use: Improving few-shot performance of language models
Zhao, T. Z., Wallace, E., Feng, S., Klein, D., and Singh, S · 2021
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KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base
Cao, S., Shi, J., Pan, L., Nie, L., Xiang, Y., Hou, L., Li, J., He, B., and Zhang, H · 2022
Earlier work this paper cites.
LangChain , 2022
Chase, H · 2022
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Palm: Scaling language modeling with pathways , 2022
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., Schuh, P., Shi, K., Tsvyashchenko, S., Maynez, J., Rao, A., Barnes, P., Tay, Y., Shazeer, N., Prabhakaran, V., Reif, E., Du, N., Hutchinson, B., Pope, R., Bradbury, J., Austin, J., Isard, M., Gur-Ari, G., Yin, P., Duke, T., Levskaya, A., Ghemawat, S., Dev, S., Michalewski, H., Garcia, X., Misra, V., Robinson, K., Fedus, L., Zhou, D., Ippolito, D., Luan, D., Lim, H., Zoph, B., Spiridonov, A., Sepassi, R., Dohan, D., Agrawal, S., Omernick, M., Dai, A. M., Pillai, T. S., Pellat, M., Lewkowycz, A., Moreira, E., Child, R., Polozov, O., Lee, K., Zhou, Z., Wang, X., Saeta, B., Diaz, M., Firat, O., Catasta, M., Wei, J., Meier-Hellstern, K., Eck, D., Dean, J., Petrov, S., and Fiedel, N · 2022
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A survey on in-context learning
Dong, Q., Li, L., Dai, D., Zheng, C., Wu, Z., Chang, B., Sun, X., Xu, J., and Sui, Z · 2022
Earlier work this paper cites.
Complex knowledge base question answering: A survey , 2022
Lan, Y., He, G., Jiang, J., Jiang, J., Zhao, W. X., and Wen, J.-R · 2022
Earlier work this paper cites.
LlamaIndex , 11 2022
Liu, J · 2022
Cited alongside, same era.
Autogpt , 2022
Richards, T. B · 2022
Cited alongside, same era.
Skypilot , 2022
skypilot org · 2022
Cited alongside, same era.
Emergent abilities of large language models , 2022
Wei, J., Tay, Y., Bommasani, R., Raffel, C., Zoph, B., Borgeaud, S., Yogatama, D., Bosma, M., Zhou, D., Metzler, D., Chi, E. H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., and Fedus, W · 2022
Cited alongside, same era.
A meta reinforcement learning approach for predictive autoscaling in the cloud
Xue, S., Qu, C., Shi, X., Liao, C., Zhu, S., Tan, X., Ma, L., Wang, S., Wang, S., Hu, Y., Lei, L., Zheng, Y., Li, J., and Zhang, J · 2022
Cited alongside, same era.
Large models for time series and spatio-temporal data: A survey and outlook , 2023
Jin, M., Wen, Q., Liang, Y., Zhang, C., Xue, S., Wang, X., Zhang, J., Wang, Y., Chen, H., Li, X., Pan, S., Tseng, V. S., Zheng, Y., Chen, L., and Xiong, H · 2023
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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. E., Zhang, H., and Stoica, I · 2023
Closest in time.
A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability , 2023
Liu, A., Hu, X., Wen, L., and Yu, P. S · 2023
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PrivateGPT , May 2023
Martínez, I., Gallego Vico, D., and Orgaz, P · 2023
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OpenAI · 2023
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Zeng, A., Liu, X., Du, Z., Wang, Z., Lai, H., Ding, M., Yang, Z., Xu, Y., Zheng, W., Xia, X., et al · 2022
Cited alongside, same era.
Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al · 2023
Cited alongside, same era.
Bai, J., Bai, S., Chu, Y., Cui, Z., Dang, K., Deng, X., Fan, Y., Ge, W., Han, Y., Huang, F., Hui, B., Ji, L., Li, M., Lin, J., Lin, R., Liu, D., Liu, G., Lu, C., Lu, K., Ma, J., Men, R., Ren, X., Ren, X., Tan, C., Tan, S., Tu, J., Wang, P., Wang, S., Wang, W., Wu, S., Xu, B., Xu, J., Yang, A., Yang, H., Yang, J., Yang, S., Yao, Y., Yu, B., Yuan, H., Yuan, Z., Zhang, J., Zhang, X., Zhang, Y., Zhang, Z., Zhou, C., Zhou, J., Zhou, X., and Zhu, T · 2023
Cited alongside, same era.
Baichuan 2: Open large-scale language models
Baichuan · 2023
Cited alongside, same era.
Leveraging large language models for pre-trained recommender systems
Chu, Z., Hao, H., Ouyang, X., Wang, S., Wang, Y., Shen, Y., Gu, J., Cui, Q., Li, L., Xue, S., et al · 2023
Cited alongside, same era.
Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al · 2023
Cited alongside, same era.
H2OGPT , May 2023
H2O.ai · 2023
Cited alongside, same era.
Deep optimal timing strategies for time series
Pan, C., Zhou, F., Hu, X., Zhu, X., Ning, W., Zhuang, Z., Xue, S., Zhang, J., and Hu, Y · 2023
Closest in time.
Bellman meets hawkes: Model-based reinforcement learning via temporal point processes
Qu, C., Tan, X., Xue, S., Shi, X., Zhang, J., and Mei, H · 2023
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Toolformer: Language models can teach themselves to use tools
Schick, T., Dwivedi-Yu, J., Dessì, R., Raileanu, R., Lomeli, M., Zettlemoyer, L., Cancedda, N., and Scialom, T · 2023
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Language models can improve event prediction by few-shot abductive reasoning
Shi, X., Xue, S., Wang, K., Zhou, F., Zhang, J. Y., Zhou, J., Tan, C., and Mei, H · 2023
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Sql-palm: Improved large language model adaptation for text-to-sql , 2023
Sun, R., Arik, S. O., Nakhost, H., Dai, H., Sinha, R., Yin, P., and Pfister, T · 2023
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Llama 2: Open foundation and fine-tuned chat models , 2023
Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., Bikel, D., Blecher, L., Ferrer, C. C., Chen, M., Cucurull, G., Esiobu, D., Fernandes, J., Fu, J., Fu, W., Fuller, B., Gao, C., Goswami, V., Goyal, N., Hartshorn, A., Hosseini, S., Hou, R., Inan, H., Kardas, M., Kerkez, V., Khabsa, M., Kloumann, I., Korenev, A., Koura, P. S., Lachaux, M.-A., Lavril, T., Lee, J., Liskovich, D., Lu, Y., Mao, Y., Martinet, X., Mihaylov, T., Mishra, P., Molybog, I., Nie, Y., Poulton, A., Reizenstein, J., Rungta, R., Saladi, K., Schelten, A., Silva, R., Smith, E. M., Subramanian, R., Tan, X. E., Tang, B., Taylor, R., Williams, A., Kuan, J. X., Xu, P., Yan, Z., Zarov, I., Zhang, Y., Fan, A., Kambadur, M., Narang, S., Rodriguez, A., Stojnic, R., Edunov, S., and Scialom, T · 2023
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Enhancing recommender systems with large language model reasoning graphs
Wang, Y., Chu, Z., Ouyang, X., Wang, S., Hao, H., Shen, Y., Gu, J., Xue, S., Zhang, J. Y., Cui, Q., et al · 2023
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ReAct: Synergizing reasoning and acting in language models
Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., and Cao, Y · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena , 2023
Zheng, L., Chiang, W.-L., Sheng, Y., Zhuang, S., Wu, Z., Zhuang, Y., Lin, Z., Li, Z., Li, D., Xing, E. P., Zhang, H., Gonzalez, J. E., and Stoica, I · 2023
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Zhou, X., Li, G., and Liu, Z · 2023
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