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Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.

R. Kocielnik, S. Kangaslahti, S. Prabhumoye, M. Hari, R. Alvarez, and A. Anandkumar. TL4NLP, volume 203 of Proceedings of Machine Learning Research, page 22-32. PMLR, (2022)

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Evaluating Parameter Efficient Learning for Generation.P. Xu, M. Patwary, S. Prabhumoye, V. Adams, R. Prenger, W. Ping, N. Lee, M. Shoeybi, and B. Catanzaro. EMNLP, page 4824-4833. Association for Computational Linguistics, (2022)Linguistic Markers of Influence in Informal Interactions.S. Prabhumoye, S. Choudhary, E. Spiliopoulou, C. Bogart, C. Rosé, and A. Black. NLP+CSS@ACL, page 53-62. Association for Computational Linguistics, (2017)AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models.R. Kocielnik, S. Prabhumoye, V. Zhang, R. Alvarez, and A. Anandkumar. CoRR, (2023)Towards Content Transfer through Grounded Text Generation.S. Prabhumoye, C. Quirk, and M. Galley. NAACL-HLT (1), page 2622-2632. Association for Computational Linguistics, (2019)Focused Attention Improves Document-Grounded Generation.S. Prabhumoye, K. Hashimoto, Y. Zhou, A. Black, and R. Salakhutdinov. NAACL-HLT, page 4274-4287. Association for Computational Linguistics, (2021)Multi-Stage Prompting for Knowledgeable Dialogue Generation.Z. Liu, M. Patwary, R. Prenger, S. Prabhumoye, W. Ping, M. Shoeybi, and B. Catanzaro. ACL (Findings), page 1317-1337. Association for Computational Linguistics, (2022)AgentKit: Flow Engineering with Graphs, not Coding.Y. Wu, Y. Fan, S. Min, S. Prabhumoye, S. McAleer, Y. Bisk, R. Salakhutdinov, Y. Li, and T. Mitchell. CoRR, (2024)Nemotron-4 340B Technical Report.B. Adler, N. Agarwal, A. Aithal, D. Anh, P. Bhattacharya, A. Brundyn, J. Casper, B. Catanzaro, S. Clay, J. Cohen and 71 other author(s). CoRR, (2024)Topological Sort for Sentence Ordering.S. Prabhumoye, R. Salakhutdinov, and A. Black. ACL, page 2783-2792. Association for Computational Linguistics, (2020)Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.R. Kocielnik, S. Kangaslahti, S. Prabhumoye, M. Hari, R. Alvarez, and A. Anandkumar. TL4NLP, volume 203 of Proceedings of Machine Learning Research, page 22-32. PMLR, (2022)

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Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.

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Disambiguation of "Prabhumoye, Shrimai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.

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Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.