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ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 55× · AI/ML
academia openalex:W4385573776
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ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

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ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts is a scholarly article[1].

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  • ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts's instance of is recorded as scholarly article[2].

Related Entities

Hannaneh Hajishirzi

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. Retrieved May 24, 2026, from https://4ort.xyz/entity/attempt-parameter-efficient-multi-task-tuning-via-attentional-mixtures-of-soft-prompts
MLA “ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attempt-parameter-efficient-multi-task-tuning-via-attentional-mixtures-of-soft-prompts.
BibTeX @misc{4ortxyz_attempt-parameter-efficient-multi-task-tuning-via-attentional-mixtures-of-soft-prompts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts}}, year = {2026}, url = {https://4ort.xyz/entity/attempt-parameter-efficient-multi-task-tuning-via-attentional-mixtures-of-soft-prompts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts — https://4ort.xyz/entity/attempt-parameter-efficient-multi-task-tuning-via-attentional-mixtures-of-soft-prompts (retrieved 2026-05-24)

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