Papers with plug-in modules

2 papers
Plug-and-Play Adaptation for Continuously-updated QA (2022.findings-acl)

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Challenge: Existing tasks to assess LMs’ efficacy as KBs do not adequately consider multiple large-scale updates.
Approach: They propose a task where multiple large-scale updates are made to language models and plug-in modules are used to handle the updates.
Outcome: The proposed method outperforms existing methods on zsRE QA and NQ datasets and is 4x more effective in terms of updates/forgets ratio compared to a fine-tuning baseline.
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization (2023.acl-industry)

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Challenge: e-commerce platforms are encountering increasingly complex product categorization scenarios . multiple business domains correspond to different category taxonomies, with different depths and distinct literal expressions of category names.
Approach: They propose a taxonomy-agnostic framework that calculates semantic relatedness between product titles and category names in the vector space.
Outcome: The proposed framework outperforms strong baselineson three dynamic multi-domain product categorization tasks.

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