From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.

D. Lee, K. Ahrabian, W. Jin, F. Morstatter, и J. Pujara. EMNLP, стр. 544-557. Association for Computational Linguistics, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Jay Pujara

Jay Jorgenson

Sylvain Jay

Klaus Jay

Emmanuel Jay

Другие публикации лиц с тем же именем

From Tables to Knowledge: Recent Advances in Table Understanding.J. Pujara, P. Szekely, H. Sun, и M. Chen. KDD, стр. 4060-4061. ACM, (2021)AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.D. Lee, R. Selvam, S. Sarwar, B. Lin, F. Morstatter, J. Pujara, E. Boschee, J. Allan, и X. Ren. EACL, стр. 3003-3017. Association for Computational Linguistics, (2023)Self-Discover: Large Language Models Self-Compose Reasoning Structures.P. Zhou, J. Pujara, X. Ren, X. Chen, H. Cheng, Q. Le, E. Chi, D. Zhou, S. Mishra, и H. Zheng. CoRR, (2024)Commonsense-Focused Dialogues for Response Generation: An Empirical Study.P. Zhou, K. Gopalakrishnan, B. Hedayatnia, S. Kim, J. Pujara, X. Ren, Y. Liu, и D. Hakkani-Tur. CoRR, (2021)Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.Y. Gil, D. Garijo, D. Khider, C. Knoblock, V. Ratnakar, M. Osorio, H. Vargas, M. Pham, J. Pujara, B. Shbita и 25 other автор(ы). ACM Trans. Interact. Intell. Syst., 11 (2): 11:1-11:49 (2021)Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models.F. Ilievski, K. Ma, A. Oltramari, P. Wang, и J. Pujara. Compendium of Neurosymbolic Artificial Intelligence, том 369 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.P. Zhou, R. Khanna, S. Lee, B. Lin, D. Ho, J. Pujara, и X. Ren. EMNLP (1), стр. 7560-7579. Association for Computational Linguistics, (2021)Retrieving Complex Tables with Multi-Granular Graph Representation Learning.F. Wang, K. Sun, M. Chen, J. Pujara, и P. Szekely. SIGIR, стр. 1472-1482. ACM, (2021)An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.D. Garijo, D. Khider, V. Ratnakar, Y. Gil, E. Deelman, R. da Silva, C. Knoblock, Y. Chiang, M. Pham, J. Pujara и 15 other автор(ы). IUI Companion, стр. 111-112. ACM, (2019)Knowledge-Powered Recommendation for an Improved Diet Water Footprint.S. Joshi, F. Ilievski, и J. Pujara. CoRR, (2024)

BibSonomy

Disambiguation