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Coherence boosting: When your pretrained language model is not paying enough attention
Research article (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022) · cited 14× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Coherence boosting: When your pretrained language model is not paying enough attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/coherence-boosting-when-your-pretrained-language-model-is-not-paying-enough-attention
MLA“Coherence boosting: When your pretrained language model is not paying enough attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coherence-boosting-when-your-pretrained-language-model-is-not-paying-enough-attention.
BibTeX@misc{4ortxyz_coherence-boosting-when-your-pretrained-language-model-is-not-paying-enough-attention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coherence boosting: When your pretrained language model is not paying enough attention}}, year = {2026}, url = {https://4ort.xyz/entity/coherence-boosting-when-your-pretrained-language-model-is-not-paying-enough-attention}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coherence boosting: When your pretrained language model is not paying enough attention — https://4ort.xyz/entity/coherence-boosting-when-your-pretrained-language-model-is-not-paying-enough-attention (retrieved 2026-05-24)