Papers with general-domain PLMs

2 papers
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Pre-Trained Language Models and Ensemble Learning (2025.naacl-srw)

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Challenge: InsightBuddy-AI is a system for extracting medication mentions and their associated attributes.
Approach: They propose a system for extracting medication mentions and their associated attributes . they use stacked and voting ensembles built upon pre-trained language models .
Outcome: The proposed system outperforms fine-tuned models in the extraction of medication mentions and associated attributes.
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models (2023.findings-emnlp)

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Challenge: Existing financial PLMs are not pretrained on sufficiently diverse financial data, leading to subpar generalization performance.
Approach: They propose to pretrain financial PLMs on financial corpus and train financial models on financial data.
Outcome: The proposed financial language models outperform existing financial PLMs on financial tasks even for unseen corpus groups.

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