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With the accelerating development of Large Language Models (LLMs), many LLMs are beginning to be used in the Chinese K-12 education domain.
Findings of the 2014 workshop on statistical machine translation
O. Bojar, C. Buck, C. Federmann, B. Haddow, P. Koehn, J. Leveling, C. Monz, P. Pecina, M. Post, H. Saint-Amand, R. Soricut, L. Specia, and A. Tamchyna · 2014
Earlier work this paper cites.
Teaching machines to read and comprehend
K. M. Hermann, T. Kocisky, E. Grefenstette, L. Espeholt, W. Kay, M. Suleyman, and P. Blunsom · 2015
Earlier work this paper cites.
Think you have solved question answering? try arc, the ai2 reasoning challenge, 2018
P. Clark, I. Cowhey, O. Etzioni, T. Khot, A. Sabharwal, C. Schoenick, and O. Tafjord · 2018
Earlier work this paper cites.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
S. Narayan, S. B. Cohen, and M. Lapata · 2018
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Know what you don’t know: Unanswerable questions for squad
P. Rajpurkar, R. Jia, and P. Liang · 2018
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Glue: A multi-task benchmark and analysis platform for natural language understanding
A. Wang, A. Singh, J. Michael, F. Hill, O. Levy, and S. R. Bowman · 2018
Earlier work this paper cites.
CommonsenseQA: A question answering challenge targeting commonsense knowledge
A. Talmor, J. Herzig, N. Lourie, and J. Berant · 2019
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Ernie: Enhanced language representation with informative entities
Z. Zhang, X. Han, Z. Liu, X. Jiang, M. Sun, and Q. Liu · 2019
Earlier work this paper cites.
Superglue: Learning feature matching with graph neural networks
P.-E. Sarlin, D. DeTone, T. Malisiewicz, and A. Rabinovich · 2020
Earlier work this paper cites.
CLUE: A Chinese language understanding evaluation benchmark
L. Xu, H. Hu, X. Zhang, L. Li, C. Cao, Y. Li, Y. Xu, K. Sun, D. Yu, C. Yu, Y. Tian, Q. Dong, W. Liu, B. Shi, Y. Cui, J. Li, J. Zeng, R. Wang, W. Xie, Y. Li, Y. Patterson, Z. Tian, Y. Zhang, H. Zhou, S. Liu, Z. Zhao, Q. Zhao, C. Yue, X. Zhang, Z. Yang, K. Richardson, and Z. Lan · 2020
Earlier work this paper cites.
Program synthesis with large language models, 2021
J. Austin, A. Odena, M. Nye, M. Bosma, H. Michalewski, D. Dohan, E. Jiang, C. Cai, M. Terry, Q. Le, and C. Sutton · 2021
Earlier work this paper cites.
Evaluating large language models trained on code, 2021
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. de Oliveira Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, A. Ray, R. Puri, G. Krueger, M. Petrov, H. Khlaaf, G. Sastry, P. Mishkin, B. Chan, S. Gray, N. Ryder, M. Pavlov, A. Power, L. Kaiser, M. Bavarian, C. Winter, P. Tillet, F. P. Such, D. Cummings, M. Plappert, F. Chantzis, E. Barnes, A. Herbert-Voss, W. H. Guss, A. Nichol, A. Paino, N. Tezak, J. Tang, I. Babuschkin, S. Balaji, S. Jain, W. Saunders, C. Hesse, A. N. Carr, J. Leike, J. Achiam, V. Misra, E. Morikawa, A. Radford, M. Knight, M. Brundage, M. Murati, K. Mayer, P. Welinder, B. McGrew, D. Amodei, S. McCandlish, I. Sutskever, and W. Zaremba · 2021
Earlier work this paper cites.
Training verifiers to solve math word problems
K. Cobbe, V. Kosaraju, M. Bavarian, M. Chen, H. Jun, L. Kaiser, M. Plappert, J. Tworek, J. Hilton, R. Nakano, et al · 2021
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Measuring massive multitask language understanding
D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt · 2021
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Winogrande: An adversarial winograd schema challenge at scale
K. Sakaguchi, R. L. Bras, C. Bhagavatula, and Y. Choi · 2021
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Glm: General language model pretraining with autoregressive blank infilling
Z. Du, Y. Qian, X. Liu, M. Ding, J. Qiu, Z. Yang, and J. Tang · 2022
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News summarization and evaluation in the era of gpt-3
T. Goyal, J. J. Li, and G. Durrett · 2022
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J. Bai, S. Bai, Y. Chu, Z. Cui, K. Dang, X. Deng, Y. Fan, W. Ge, Y. Han, F. Huang, et al · 2023
Later among the works it cites.
Efficient and effective text encoding for chinese llama and alpaca
Y. Cui, Z. Yang, and X. Yao · 2023
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Educhat: A large-scale language model-based chatbot system for intelligent education
Y. Dan, Z. Lei, Y. Gu, Y. Li, J. Yin, J. Lin, L. Ye, Z. Tie, Y. Zhou, Y. Wang, et al · 2023
Later among the works it cites.
C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models
Y. Huang, Y. Bai, Z. Zhu, J. Zhang, J. Zhang, T. Su, J. Liu, C. Lv, Y. Zhang, J. Lei, et al · 2023
Later among the works it cites.
Cmmlu: Measuring massive multitask language understanding in chinese
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Large language models are zero-shot reasoners
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa · 2022
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MultiSpanQA: A dataset for multi-span question answering
H. Li, M. Tomko, M. Vasardani, and T. Baldwin · 2022
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Holistic evaluation of language models
P. Liang, R. Bommasani, T. Lee, D. Tsipras, D. Soylu, M. Yasunaga, Y. Zhang, D. Narayanan, Y. Wu, A. Kumar, et al · 2022
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Chatgpt: Optimizing language models for dialogue
OpenAI · 2022
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A. Srivastava, A. Rastogi, A. Rao, A. A. M. Shoeb, A. Abid, A. Fisch, A. R. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso, et al · 2022
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Chain of thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, brian ichter, F. Xia, E. H. Chi, Q. V. Le, and D. Zhou · 2022
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Glm-130b: An open bilingual pre-trained model
A. Zeng, X. Liu, Z. Du, Z. Wang, H. Lai, M. Ding, Z. Yang, Y. Xu, W. Zheng, X. Xia, et al · 2022
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H. Li, Y. Zhang, F. Koto, Y. Yang, H. Zhao, Y. Gong, N. Duan, and T. Baldwin · 2023
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OpenAI · 2023
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Cmb: A comprehensive medical benchmark in chinese
X. Wang, G. H. Chen, D. Song, Z. Zhang, Z. Chen, Q. Xiao, F. Jiang, J. Li, X. Wan, B. Wang, et al · 2023
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Superclue: A comprehensive chinese large language model benchmark
L. Xu, A. Li, L. Zhu, H. Xue, C. Zhu, K. Zhao, H. He, X. Zhang, Q. Kang, and Z. Lan · 2023
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Baichuan 2: Open large-scale language models, 2023
A. Yang, B. Xiao, B. Wang, B. Zhang, C. Bian, C. Yin, C. Lv, D. Pan, D. Wang, D. Yan, F. Yang, F. Deng, F. Wang, F. Liu, G. Ai, G. Dong, H. Zhao, H. Xu, H. Sun, H. Zhang, H. Liu, J. Ji, J. Xie, J. Dai, K. Fang, L. Su, L. Song, L. Liu, L. Ru, L. Ma, M. Wang, M. Liu, M. Lin, N. Nie, P. Guo, R. Sun, T. Zhang, T. Li, T. Li, W. Cheng, W. Chen, X. Zeng, X. Wang, X. Chen, X. Men, X. Yu, X. Pan, Y. Shen, Y. Wang, Y. Li, Y. Jiang, Y. Gao, Y. Zhang, Z. Zhou, and Z. Wu · 2023
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Measuring massive multitask chinese understanding
H. Zeng · 2023
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Agieval: A human-centric benchmark for evaluating foundation models
W. Zhong, R. Cui, Y. Guo, Y. Liang, S. Lu, Y. Wang, A. Saied, W. Chen, and N. Duan · 2023
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