Liner unveils "Paper Quick Review" page, summarizing key papers from top global AI academic societies.
– Research objectives, methodology, and results at a glance… Helps you make value judgments before opening the paper PDF.
– Precise filtering is possible to select only the research you need from the vast flood of papers.
– Reduce physical time and increase research immersion… We will become the optimal AI research partner for researchers.
Global AI agent startup Liner (CEO Jinwoo Kim) announced on the 16th that it has officially opened the 'Paper Quick Review' page, which allows for faster and more accurate exploration of AI papers.
Amid the rapidly increasing volume of AI research, the biggest challenge researchers face is the excessive time required to select papers to reference. Because the title and abstract alone are insufficient for sufficient information, researchers are forced to repeatedly review the entire paper, an inefficient process.
To address these issues, Liner designed "Paper Quick Review." Quick Review summarizes the key information needed for paper evaluation on a single page. It provides not only the research objectives, methodology, and key results, but also the publication year, citation count, and related papers, allowing researchers to immediately grasp the paper's recency, impact, and research context. Specifically, it focuses on key visuals (figures) that AI researchers use to assess research relevance, enabling researchers to quickly assess a paper's contribution and connection to the research without having to read the entire text.
In addition, it provides the latest papers from the 'Top 18 Global AI Conferences' covering various fields such as 'Computer Vision (CV),' 'Natural Language Processing (NLP),' and 'Data Mining,' including 'NeurIPS (Neural Information Processing Systems),' 'ICLR (International Conference on Representation Learning),' 'ICML (International Conference on Machine Learning),' 'CVPR (Conference on Computer Vision and Pattern Recognition),' and 'ICCV (International Conference on Computer Vision). Search convenience has been greatly enhanced with 12 detailed topic filtering functions such as 'Multimodal AI,' 'Machine Learning Theory and Methodology,' and 'Time Series Data Processing,' so that researchers in specific fields can efficiently track the latest research trends.
A unique feature of the Paper Quick Review service is that it's located on the Liner official website, separate from Liner's AI search and research agent service, making it convenient for anyone to use. Simply select the "Paper Review" category from the "Learn More" menu at the top of the website to access advanced paper analysis content without any complicated procedures.
Kim Jin-woo, CEO of Liner, explained, "The simple, repetitive review process researchers endure to find meaningful papers is now a challenge that must be solved through technology." He added, "Quick review of papers is a key tool that dramatically reduces the inefficiency of this search process and facilitates quick decisions." He continued, "Going forward, Liner will focus on replacing simple knowledge-intensive tasks that consume researchers' physical time with technology and on enhancing research AI agents that maximize essential research productivity."
Meanwhile, Liner continues to invest in data enhancement, a key driver of search quality. It has built a 460 million-item academic database, significantly exceeding the industry average of 200 million, and has an internal system that enables the fastest access to the latest academic data. Liner plans to continue to establish itself as a trusted AI research partner, leveraging its unparalleled data coverage and accuracy to deeply understand the research context.
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