Papers with patent retrieval

2 papers
A Survey on Patent Analysis: From NLP to Multimodal AI (2025.acl-long)

Copied to clipboard

Challenge: Recent advances in pretrained language models and large language models have demonstrated transformative capabilities across diverse domains.
Approach: They propose a taxonomy for categorization based on tasks in the patent life cycle . they introduce a novel taxonomies for categorizing based upon tasks in patent life cycles .
Outcome: The proposed method is based on tasks in the patent life cycle and provides a taxonomy for categorization based upon tasks in patent life cycles.
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding (2025.findings-emnlp)

Copied to clipboard

Challenge: patent images often lack comprehensive visual context and semantic information, authors say . recent advances in vision-language models offer promising opportunities for patent analysis .
Approach: They develop a framework for design patent analysis using large-scale patent dataset . they validate the effectiveness of DesignCLIP across various downstream tasks .
Outcome: The proposed framework outperforms baseline and SOTA models on all tasks.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations