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Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning

Utama, Prasetya ; Moosavi, Nafise Sadat ; Sanh, Victor ; Gurevych, Iryna (2021):
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 9063-9074,
ACL, 2021 Conference on Empirical Methods in Natural Language Processing, virtual Conference and Punta Cana, Dominican Republic, 07.-11.11.2021, ISBN 978-1-955917-09-4,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Utama, Prasetya ; Moosavi, Nafise Sadat ; Sanh, Victor ; Gurevych, Iryna
Title: Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Language: English
Book Title: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Publisher: ACL
ISBN: 978-1-955917-09-4
Uncontrolled Keywords: UKP_p_crisp_senpai
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: 2021 Conference on Empirical Methods in Natural Language Processing
Event Location: virtual Conference and Punta Cana, Dominican Republic
Event Dates: 07.-11.11.2021
Date Deposited: 08 Nov 2021 08:07
URL / URN: https://aclanthology.org/2021.emnlp-main.713/
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