Liner Launches 'Paper Quick Review,' a Global AI Conference Paper Summarization Service

AI agent startup Liner has launched an innovative service, the ‘Paper Quick Review’ page, designed to solve a long-standing challenge for AI researchers. It is a crucial tool set to dramatically reduce the immense amount of time spent sifting through the flood of rapidly increasing AI research papers to select the most relevant materials. Now, there's no longer a need to guess the core content, which was often difficult to grasp solely from a paper's title and abstract. ‘Paper Quick Review’ provides a compressed summary on a single page, complete with key visual materials (Figures), allowing researchers to understand each paper's research objective, methodology used, and main results at a glance. This enables instant assessment of a paper's value and suitability without having to open each original PDF. This service goes beyond simple summarization. It also provides publication year, citation count, and related paper information, helping researchers immediately grasp a paper's recency, influence within academia, and broader research context. The service covers the latest papers presented at 18 top-tier AI conferences worldwide, including NeurIPS, ICLR, and CVPR. Users can efficiently search and explore materials that precisely match their research field using 12 detailed subject filters such as ‘Multimodal AI’, ‘Time Series Data Processing’, and ‘Machine Learning Theory’. To support this innovative service, Liner has built a massive academic database of 460 million entries, far exceeding the industry average (approximately 200 million entries). Based on this enormous data, the company explains that it quickly reflects the latest academic data and has elevated search quality and accuracy to the highest level. Kim Jin-woo, CEO of Liner, emphasized, "We aimed to solve the repetitive and inefficient review process of finding meaningful papers through technology." He added, "We will continue to advance our research AI agent features to enable researchers to save physical exploration time, focus on essential research itself, and ultimately maximize research productivity." Liner's ‘Paper Quick Review’ will be an important milestone, ushering in a new era of knowledge exploration in AI research.