
Semantic Scholar | AI-Powered Research Tool
Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
Semantic Scholar | Product
Semantic Scholar provides free, AI-driven research tools and open resources for all researchers. Search and cite any papers, manage your reading lists in your personal library, and get AI-powered paper …
Semantic Scholar | Semantic Reader
To create a better reading experience, Semantic Reader uses artificial intelligence to understand a document’s structure and merge it with the Semantic Scholar’s academic corpus, providing detailed …
[PDF] Unveiling Deep Semantic Uncertainty Perception for Language ...
Nov 6, 2025 · A novel Multimodal Bidirectional Cycle Consistency (MB2C) framework for learning robust visual neural representations is proposed, utilizing dual-GAN to generate modality-related features …
Semantic Scholar | Frequently Asked Questions
What is the advantage of using Semantic Scholar instead of other academic search engines? Does Semantic Scholar offer programmatic access to its data through an API or downloadable dataset?
Tutorial | Semantic Scholar Academic Graph API
The Semantic Scholar REST API uses standard HTTP verbs, response codes, and authentication. This tutorial will teach you how to interact with the API by sending requests and analyzing the responses.
Semantic Scholar
Semantic Scholar's Logo Sign in to continue Don't have an account? Create a free account Sign In With Your Institution
Semantic Scholar Academic Graph API | Semantic Scholar
Not only is the Semantic Scholar API very easy to use, quick, and reliable, but it also incorporates a lot of additional metadata like PDF URLs, abstract, summarization, and more, that are not easily …
Semantic Scholar
What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at Ai2. Learn More About About Us Publishers Blog Ai2 Careers Product Product Overview …
The Prompt Report: A Systematic Survey of Prompting Techniques
This work introduces PromptPrism, a linguistically-inspired taxonomy that enables prompt analysis across three hierarchical levels: functional structure, semantic component, and syntactic pattern.