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RELIC: Investigating Large Language Model Responses using Self-Consistency

Research article (Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024) · cited 31× · AI/ML
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RELIC: Investigating Large Language Model Responses using Self-Consistency

Summary

RELIC: Investigating Large Language Model Responses using Self-Consistency is a scholarly article[1].

Key Facts

  • RELIC: Investigating Large Language Model Responses using Self-Consistency'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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APA 4ort.xyz Knowledge Graph. (2026). RELIC: Investigating Large Language Model Responses using Self-Consistency. Retrieved May 24, 2026, from https://4ort.xyz/entity/relic-investigating-large-language-model-responses-using-self-consistency
MLA “RELIC: Investigating Large Language Model Responses using Self-Consistency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/relic-investigating-large-language-model-responses-using-self-consistency.
BibTeX @misc{4ortxyz_relic-investigating-large-language-model-responses-using-self-consistency_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RELIC: Investigating Large Language Model Responses using Self-Consistency}}, year = {2026}, url = {https://4ort.xyz/entity/relic-investigating-large-language-model-responses-using-self-consistency}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RELIC: Investigating Large Language Model Responses using Self-Consistency — https://4ort.xyz/entity/relic-investigating-large-language-model-responses-using-self-consistency (retrieved 2026-05-24)

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