Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant resear
Helping Scholars Discover New Insights Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community. We index over 200 million academic papers sourced from publisher partnerships, data providers, and web crawls. We are a Research and Product Development team within Ai2 building a better way to search and discover scientific knowledge. With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research. Our Values reflect who we are, why we are building Semantic Scholar, and guide us through hard decisions. We are motivated to use AI in novel ways for a dramatic impact. Tackling our problems with AI not only helps our community, it also improves the quality of our AI research by grounding it in real-world application. Scientific knowledge should be available to everyone. We recognize that the status quo disproportionately benefits certain groups of scholars over others. As a non-profit, we evaluate the impact of our choices and pursue directions that help balance the scales. Collaboration makes us stronger. We make a conscious effort to collaborate with our teammates, and by doing so, we will both improve the quality of our work and distribute the burden of support. We are small, but mighty. We stand behind our convictions when we believe they are the right direction, even if that is a more difficult path. We question what has been done historically, never satisfied with the status quo. We aim to gain knowledge sooner by starting conversations early and by prototyping our ideas quickly. When we realize a path we have chosen is not working, we are willing to recognize it openly and do the work to learn from it. We aim to establish a higher standard for applying AI in a trustworthy and transparent way. By educating and building trust in our AI-driven solutions, we will foster a community who are invested in our success and patient with our mistakes. We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress. Reach millions of scholars by integrating your academic content into Semantic Scholar's knowledge graph Join our Beta Program to provide feedback and help scholars around the globe Download logos, illustrations, and brand guidelines
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📢 Are you a #nlproc #hci #ml #ai researcher excited about accelerating science with AI? We're #hiring for Research Scientist, Young Investigator (Postdoc Researcher), and Research Intern with start
📢 Are you a #nlproc #hci #ml #ai researcher excited about accelerating science with AI? We're #hiring for Research Scientist, Young Investigator (Postdoc Researcher), and Research Intern with start dates in 2025! https://t.co/G9uNCrsEId Apply by 11/1 for full consideration ⏰ https://t.co/3OFPdiTzN2
View originalWe believe the future of science depends on AI systems you can understand, verify, and trust. That’s what Asta is built for. Join us on this journey to advance agents for science. 🌍 ➡️ https://t.co
We believe the future of science depends on AI systems you can understand, verify, and trust. That’s what Asta is built for. Join us on this journey to advance agents for science. 🌍 ➡️ https://t.co/TbxJRIkib4
View original🔹 AstaBench - a benchmark suite + leaderboards for evaluating agents on scientific tasks. With 2,400+ problems across 11 categories, it shows clearly where agents excel, and where they fall short.
🔹 AstaBench - a benchmark suite + leaderboards for evaluating agents on scientific tasks. With 2,400+ problems across 11 categories, it shows clearly where agents excel, and where they fall short.
View original🔹 Asta resources - software components for creating & extending agents. This includes full-text search via the Semantic Scholar API and Model Context Protocol (MCP) support, making it easier than
🔹 Asta resources - software components for creating & extending agents. This includes full-text search via the Semantic Scholar API and Model Context Protocol (MCP) support, making it easier than ever for developers to build on Asta.
View originalYou’ve told us that you need AI systems you can understand, verify, and trust. Extending the Semantic Scholar foundation, Asta is built for that—open and transparent by design & grounded in real s
You’ve told us that you need AI systems you can understand, verify, and trust. Extending the Semantic Scholar foundation, Asta is built for that—open and transparent by design & grounded in real scientific workflows.
View originalHere’s what Asta brings together: 🔹 Asta agents - tools to assist researchers with scientific tasks. They can find manuscripts even Semantic Scholar can’t, and summarize insights into a mini literatu
Here’s what Asta brings together: 🔹 Asta agents - tools to assist researchers with scientific tasks. They can find manuscripts even Semantic Scholar can’t, and summarize insights into a mini literature review with links to sources.
View originalTo our loyal Semantic Scholar community — After 7+ years building intelligent tools for researchers, it’s been exhilarating to watch usage grow to nearly 100M active users. Today, we’re excited to s
To our loyal Semantic Scholar community — After 7+ years building intelligent tools for researchers, it’s been exhilarating to watch usage grow to nearly 100M active users. Today, we’re excited to share our next big step forward: Asta. 🚀 https://t.co/70uoz7zVQS
View originalLet's find some papers 🔍📚
Let's find some papers 🔍📚
View originalThe deadline is *today*! ⏰
The deadline is *today*! ⏰
View original@yawnxyz @allen_ai Hi Jan, we're sorry that the denial has caused inconvenience. Please email us at feedback@semanticscholar.org with your project details, and we'll get back to you. Thank you!
@yawnxyz @allen_ai Hi Jan, we're sorry that the denial has caused inconvenience. Please email us at feedback@semanticscholar.org with your project details, and we'll get back to you. Thank you!
View original📢 We're seeking an Applied Research Scientist to join our research team! Apply by this Friday!
📢 We're seeking an Applied Research Scientist to join our research team! Apply by this Friday!
View original📹 Webinar on Self-hosting Semantic Scholar Data now live-streaming: https://t.co/AbTrIVmZsy
📹 Webinar on Self-hosting Semantic Scholar Data now live-streaming: https://t.co/AbTrIVmZsy
View original⏰ Reminder: the application deadline is this Friday!
⏰ Reminder: the application deadline is this Friday!
View original@Brice_Edelman Thanks for reaching out! We're working on catching up on key requests. You should get an email from us soon! If you have further questions, email feedback@semanticscholar.org
@Brice_Edelman Thanks for reaching out! We're working on catching up on key requests. You should get an email from us soon! If you have further questions, email feedback@semanticscholar.org
View originalSign up here: https://t.co/G5Gh8Y8rF4
Sign up here: https://t.co/G5Gh8Y8rF4
View originalOur API service is available under certain rate limits - if you're looking for more flexibility, self-hosting is the best solution! Learn how in our upcoming webinar. 💻 https://t.co/nYNX5vS7YH
Our API service is available under certain rate limits - if you're looking for more flexibility, self-hosting is the best solution! Learn how in our upcoming webinar. 💻 https://t.co/nYNX5vS7YH
View originalSemantic Scholar uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Scan Papers Faster with TLDRs, Check Highly Influential Citations, Tips to Get Better Recommendations, Paper Alerts, Author Alerts, Research Feed Alerts, Semantic Reader, Semantic Scholar Academic Graph API.
Based on 25 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
