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Probing the Robustness of Pre-trained Language Models for Entity Matching

Research article (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022) · cited 15× · AI/ML
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Probing the Robustness of Pre-trained Language Models for Entity Matching

Summary

Probing the Robustness of Pre-trained Language Models for Entity Matching is a scholarly article[1].

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  • Probing the Robustness of Pre-trained Language Models for Entity Matching's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Probing the Robustness of Pre-trained Language Models for Entity Matching. Retrieved May 24, 2026, from https://4ort.xyz/entity/probing-the-robustness-of-pre-trained-language-models-for-entity-matching
MLA “Probing the Robustness of Pre-trained Language Models for Entity Matching.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/probing-the-robustness-of-pre-trained-language-models-for-entity-matching.
BibTeX @misc{4ortxyz_probing-the-robustness-of-pre-trained-language-models-for-entity-matching_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Probing the Robustness of Pre-trained Language Models for Entity Matching}}, year = {2026}, url = {https://4ort.xyz/entity/probing-the-robustness-of-pre-trained-language-models-for-entity-matching}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Probing the Robustness of Pre-trained Language Models for Entity Matching — https://4ort.xyz/entity/probing-the-robustness-of-pre-trained-language-models-for-entity-matching (retrieved 2026-05-24)

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