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UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Research article (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023) · cited 28× · AI/ML
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UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Summary

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation is a scholarly article[1].

Key Facts

  • UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/uprise-universal-prompt-retrieval-for-improving-zero-shot-evaluation
MLA “UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uprise-universal-prompt-retrieval-for-improving-zero-shot-evaluation.
BibTeX @misc{4ortxyz_uprise-universal-prompt-retrieval-for-improving-zero-shot-evaluation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/uprise-universal-prompt-retrieval-for-improving-zero-shot-evaluation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation — https://4ort.xyz/entity/uprise-universal-prompt-retrieval-for-improving-zero-shot-evaluation (retrieved 2026-05-24)

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