🔗 Who cites «What to Pre-Train on? Efficient Intermediate Task Selection»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «What to Pre-Train on? Efficient Intermediate Task Selection»

TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 302 citations
AdapterDrop: On the Efficiency of Adapters in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Andreas Rücklé, Gregor Geigle, Max Glockner, et al.2021 · 295 citations
Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 172 citations
1. Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction ButtressingPaolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al.2022 · 2 citations

57 more papers of our library cite it; they have no page here yet.

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