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.
APA4ort.xyz Knowledge Graph. (2026). GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/gap-a-novel-generative-context-aware-prompt-tuning-method-for-relation-extraction
MLA“GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gap-a-novel-generative-context-aware-prompt-tuning-method-for-relation-extraction.
BibTeX@misc{4ortxyz_gap-a-novel-generative-context-aware-prompt-tuning-method-for-relation-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction}}, year = {2026}, url = {https://4ort.xyz/entity/gap-a-novel-generative-context-aware-prompt-tuning-method-for-relation-extraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction — https://4ort.xyz/entity/gap-a-novel-generative-context-aware-prompt-tuning-method-for-relation-extraction (retrieved 2026-05-24)
