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Large Language Models Can Self-Improve.

, , , , , , and . EMNLP, page 1051-1068. Association for Computational Linguistics, (2023)

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Generating Representative Headlines for News Stories., , , , , , , , , and . WWW, page 1773-1784. ACM / IW3C2, (2020)Latent Factor Transition for Dynamic Collaborative Filtering., , , , and . SDM, page 452-460. SIAM, (2014)Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model., , , , , and . ICS, page 13-23. ACM, (2019)Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation., , , , , , , and . ICDM, page 429-438. IEEE Computer Society, (2015)Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis., , , , and . CIKM, page 939-948. ACM, (2016)Enable Language Models to Implicitly Learn Self-Improvement From Data., , , , , , and . CoRR, (2023)Are Features Equally Representative? A Feature-Centric Recommendation., , , , , and . AAAI, page 389-395. AAAI Press, (2015)Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer., , , , , , , , , and . ICCS (1), volume 11536 of Lecture Notes in Computer Science, page 427-440. Springer, (2019)Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models., , , , , , , , , and 10 other author(s). ICLR, OpenReview.net, (2024)Deep Learning From Imaging Genetics for Schizophrenia Classification., , , and . ICIP, page 3291-3295. IEEE, (2022)