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Discourse Understanding and Factual Consistency in Abstractive Summarization.

S. Gabriel, A. Bosselut, J. Da, A. Holtzman, J. Buys, K. Lo, A. Celikyilmaz, и Y. Choi. EACL, стр. 435-447. Association for Computational Linguistics, (2021)

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Antoine Jammal

Jacques Antoine

Antoine Kahn

Antoine Derighetti

Rainer Antoine

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Be Consistent! Improving Procedural Text Comprehension using Label Consistency.X. Du, B. Mishra, N. Tandon, A. Bosselut, W. tau Yih, P. Clark, и C. Cardie. NAACL-HLT (1), стр. 2347-2356. Association for Computational Linguistics, (2019)Analyzing Commonsense Emergence in Few-shot Knowledge Models.J. Da, R. Bras, X. Lu, Y. Choi, и A. Bosselut. AKBC, (2021)kogito: A Commonsense Knowledge Inference Toolkit.M. Ismayilzada, и A. Bosselut. EACL (System Demonstrations), стр. 96-104. Association for Computational Linguistics, (2023)Commonsense Knowledge Base Completion with Structural and Semantic Context.C. Malaviya, C. Bhagavatula, A. Bosselut, и Y. Choi. AAAI, стр. 2925-2933. AAAI Press, (2020)Discovering Knowledge-Critical Subnetworks in Pretrained Language Models.D. Bayazit, N. Foroutan, Z. Chen, G. Weiss, и A. Bosselut. CoRR, (2023)Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.J. Da, M. Forbes, R. Zellers, A. Zheng, J. Hwang, A. Bosselut, и Y. Choi. ACL/IJCNLP (1), стр. 2026-2039. Association for Computational Linguistics, (2021)GreaseLM: Graph REASoning Enhanced Language Models.X. Zhang, A. Bosselut, M. Yasunaga, H. Ren, P. Liang, C. Manning, и J. Leskovec. ICLR, OpenReview.net, (2022)PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives.S. Gao, B. Borges, S. Oh, D. Bayazit, S. Kanno, H. Wakaki, Y. Mitsufuji, и A. Bosselut. ACL (1), стр. 6569-6591. Association for Computational Linguistics, (2023)A Design Space for Intelligent and Interactive Writing Assistants.M. Lee, K. Gero, J. Chung, S. Shum, V. Raheja, H. Shen, S. Venugopalan, T. Wambsganss, D. Zhou, E. Alghamdi и 26 other автор(ы). CHI, стр. 1054:1-1054:35. ACM, (2024)ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.L. Mi, S. Montariol, J. Navarro, X. Dai, A. Bosselut, и D. Tuia. AAAI, стр. 4207-4215. AAAI Press, (2024)

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