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class="site-header__navigation-close w-inline-block"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60908306c5938d99543d2b58_close.svg" loading="lazy" alt=""/></a><a href="https://www.semanticscholar.org/sign-in" class="site-header__navigation button button--secondary w-button">Sign In</a><a href="https://www.semanticscholar.org/sign-in" class="site-header__navigation button w-button">Create Free Account</a></div><a data-w-id="6ab03a1e-944e-9291-1968-b70fe5f11662" href="#" class="site-header__navigation-open">Menu</a></div></div></header><main class="main"><div class="blade"><div class="blade__grid blade__grid--2-3"><div id="w-node-c66c32b5-75d4-eff0-7ad5-fddd5680914f-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/6093192161db6cda8195cb41_semantic_reader_launch_v2_citation_1080x1080-02.png" loading="lazy" sizes="(max-width: 479px) 85vw, (max-width: 767px) 87vw, (max-width: 991px) 89vw, 32vw" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/6093192161db6cda8195cb41_semantic_reader_launch_v2_citation_1080x1080-02-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/6093192161db6cda8195cb41_semantic_reader_launch_v2_citation_1080x1080-02-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/6093192161db6cda8195cb41_semantic_reader_launch_v2_citation_1080x1080-02.png 1080w" alt="Illustration: Semantic Reader example showing how citations can be viewed in context of the rest of the paper."/></div><div id="w-node-_2e7aa3df-ea61-047d-c6c9-96a69caec4a9-287a896c" class="blade__content"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a90b2a1bfb8113b289745d_semantic_reader_logo_SR_logo_horiz_full_color.svg" loading="lazy" alt="Semantic Reader" class="logo__intro"/><p class="p__intro p__intro--header">Introducing Semantic Reader</p><p class="p__intro">An AI-Powered Augmented Scientific Reading Application</p></div></div></div><div class="blade blade--white"><div class="blade__grid blade__grid--4-3"><div class="blade__content"><h2 class="margin-top--none">What is Semantic Reader?</h2><p class="p__intro">Semantic Reader is an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual.</p><p>Studies have uncovered many points of friction that break the flow of comprehension when reading technical papers:</p><ul role="list"><li>Frequently paging back and forth looking for the details of cited papers</li><li>Challenges recognizing the same work across multiple papers</li><li>Losing track of reading history and notes</li><li>Contending with a PDF format that is not well suited to mobile reading or assistive technologies such as screen readers</li></ul><p>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 information in context via tooltips and other overlays. If you’re logged-in, Semantic Reader integrates with your library and, over time, will incorporate personalized contextual augmentations as well.</p></div><div id="w-node-_068100e0-9f1b-1675-4b65-90f533a42be9-287a896c" class="blade__content"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a8cff805854560075b9aa6_papers-01.svg" loading="lazy" alt="" class="semantic-reader__animation"/></div></div></div><div class="blade"><div class="blade__grid"><div id="w-node-_4f37b013-69fd-3e78-d3fd-b8c508f0140b-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01.png" loading="lazy" sizes="(max-width: 479px) 85vw, (max-width: 767px) 87vw, (max-width: 991px) 89vw, 41vw" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01-p-1080.png 1080w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01-p-1600.png 1600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62a771a58fd4188dce3a3fcd_Reader-example-01-01.png 6184w" alt="Semantic Reader interface showing citation detail cards, Table of Contents, Save to Library button, and Cite button"/></div><div class="blade__content"><h2 class="margin-top--none"><strong id="reading-experience">A Revolutionary Reading Experience</strong></h2><p class="p__intro">Semantic Reader is now available for most arXiv papers on <a href="http://semanticscholar.org/">Semantic Scholar</a> with a growing set of features.</p><ul role="list"><li>Citations Cards that show details of a cited paper in-line where you’re reading, including <a href="https://www.semanticscholar.org/product/tldr">TLDR summaries</a></li><li>Table of Contents to quickly navigate between sections (availability varies)</li><li>Save to Library to conveniently track your reading list</li></ul><p>We are incrementally improving, testing, and rolling out new features in Semantic Reader and expanding coverage to more paper sources.<br/><br/></p></div></div></div><div id="citesee" class="blade blade--white"><div class="blade__grid"><div class="blade__content"><h2 class="margin-top--none">Personalized In-line Citations</h2><p>With the volume and variety of citations during literature review, it can be challenging to prioritize which ones to explore. In Semantic Reader, citations within a paper are visually augmented based on their connections to your research activities, such as <strong>saved in your library</strong> or <strong>cited by a paper in your library</strong>.</p><p>If you have at least one paper in <a href="https://www.semanticscholar.org/me/library/all" target="_blank">your library</a>, this feature is available on desktop devices for you! For more details, visit our <a href="https://www.semanticscholar.org/faq#what-are-personalized-citations" target="_blank">FAQ</a>.<br/>‍<br/></p></div><div id="w-node-_82637246-ce0c-78a9-c3e6-b6676a7a9153-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04.png" loading="lazy" sizes="(max-width: 479px) 85vw, (max-width: 767px) 87vw, (max-width: 991px) 89vw, 41vw" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-1080.png 1080w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-1600.png 1600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-2000.png 2000w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04-p-2600.png 2600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/64aef41fffbe85b73b21a8da_citesee-jul2023-04.png 5834w" alt="A simplified illustration of a paper shows in-line citations in various colors. One of the citations has been clicked on to reveal a popover containing the text "Cited by a paper saved to your library" and the paper's metadata below that message."/></div></div></div><div id="skimming" class="blade"><div class="blade__grid blade__grid--2-3"><div id="w-node-_910a97f8-5f0a-582b-16d9-49ea2c0f438f-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel.png" loading="lazy" id="w-node-a85213b5-5da1-49ea-b86e-b603b764a0e7-287a896c" sizes="(max-width: 479px) 85vw, (max-width: 767px) 87vw, (max-width: 991px) 89vw, 32vw" alt="A screenshot shows a PDF reader. Colored labels in the margin that say “Method, Result, or Goal.” Passage of text highlighted in colors corresponding with the labels. A sidebar on the right side of the page which contains the title “Skimming Highlights,” the description “AI-generated highlighting to support skimming,” a Settings button, and a list of extracted text with corresponding labels. " srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-1080.png 1080w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-1600.png 1600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-2000.png 2000w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-2600.png 2600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel-p-3200.png 3200w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/651de22d27e3d289f4ef51f8_v2-sidepanel.png 3436w"/></div><div id="w-node-_251a123b-71cf-5bb9-6c21-9c18704079ee-287a896c" class="blade__content"><h2 class="margin-top--none">Skim Papers Faster</h2><p>Find key points of a paper using AI-generated highlighted overlays with 3 category labels: Goal, Method, and Result. Customize the number of highlights and the opacity of highlights from the side panel to create your own experience.<br/><br/>Now available on most English-language arXiv papers in computer science fields.<br/></p><ul role="list" class="semantic-reader__example-list w-list-unstyled"><li class="combo-title"><h6 class="combo-title__sub">Try It</h6><h5 class="combo-title__main">Skimming Examples</h5></li><li><a href="https://www.semanticscholar.org/reader/df2b0e26d0599ce3e70df8a9da02e51594e0e992" target="_blank" class="semantic-reader__example">BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding</a></li><li><a href="https://www.semanticscholar.org/reader/7a064df1aeada7e69e5173f7d4c8606f4470365b" target="_blank" class="semantic-reader__example">ALBERT: A Lite BERT For Self-supervised Learning of Language Representations</a></li><li><a href="https://www.semanticscholar.org/reader/57e849d0de13ed5f91d086936296721d4ff75a75" target="_blank" class="semantic-reader__example">LLaMA: Open and Efficient Foundation Language Models</a></li><li><a href="https://www.semanticscholar.org/reader/903b3afd316837ffdf46f0cea7ee242d897d7956" target="_blank" class="semantic-reader__example">Scim: Intelligent Skimming Support for Scientific Papers</a></li></ul></div></div></div><div id="annotate" class="blade blade--white"><div class="blade__grid blade__grid--1-2"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01.png" loading="lazy" id="w-node-_84c2f572-a412-d25b-a1e9-14a6e070062c-287a896c" sizes="(max-width: 479px) 57vw, (max-width: 767px) 47vw, (max-width: 991px) 46vw, 30vw" alt="Illustration: Beta Program" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01.png 800w" class="blade__illustration"/><div class="blade__content"><h2 class="margin-top--xl"><strong>Open Resources for the Community</strong></h2><p class="p__intro">Create innovative research tools with resources and demos on the Semantic Reader Open Research Platform. </p><p>Access open-source libraries for PaperMage and PaperCraft to build intelligent and interactive paper readers. Discover interactive prototype demos developed with these tools.</p><a href="https://openreader.semanticscholar.org/" target="_blank" class="button button--secondary w-button">Explore the Semantic Reader Open Research Platform</a></div></div></div><div id="citesee" class="blade blade--white blade-definitions"><div class="blade__grid"><div id="w-node-c144baa4-5632-665b-d652-8185d1767025-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions.png" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-1080.png 1080w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-1600.png 1600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-2000.png 2000w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-2600.png 2600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions-p-3200.png 3200w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/655baa720f3cc64cbdab4a48_SR-definitions.png 5834w" alt="A paper with the term "alt text" highlighted. Below the highlighted text, a popover shows text reading "Alt Text: A descriptive text that is added to an image or other visual element on a webpage, providing a textual alternative for individuals who are unable to see or access the visual content." In separate grey text below the definition there is a note that says "AI-Generated Using This Paper""/></div><div class="blade__content"><h2 class="margin-top--none">Definitions On-Demand</h2><p class="p__intro">Learn definitions for words and acronyms without losing your place in the paper.</p><p>Simply click any term with a dotted underline and get an AI-generated definition based on its context in the paper.<br/><br/>For more instructions on using this feature in Semantic Reader, visit our <a href="https://www.semanticscholar.org/faq#how-are-terms-defined-in-the-semantic-reader">FAQ</a>.</p></div></div></div><div id="annotate" class="blade blade--white hidden"><div class="blade__grid"><div class="blade__content"><h2 class="margin-top--none"><strong>Annotate and Highlight</strong></h2><p class="p__intro">With <a href="http://hypothes.is/">Hypothesis</a> integration, Semantic Reader allows you to highlight and take notes while reading papers.</p><p>To access the Annotations panel, highlight some text in Semantic Reader and select Annotate or Highlight. From the panel, sign up for a Hypothesis account and log in. From there, you can post annotations, review your annotations anytime, and share them with others.<br/><br/>For more instructions on using Hypothesis in Semantic Reader, visit our <a href="https://www.semanticscholar.org/faq#semantic-reader">FAQ</a> or <a href="https://web.hypothes.is/help/">Hypothesis help articles</a>.</p></div><div id="w-node-_90b5871b-42e3-57b9-d87d-8f3ea8339877-287a896c" class="card"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01.png" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-800.png 800w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-1080.png 1080w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-1600.png 1600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-2000.png 2000w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-2600.png 2600w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01-p-3200.png 3200w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/642b5bf3e7ddd707a36502bf_hypothesis-01.png 5834w" alt="Highlighted text with a pointer that says "Annotate, highlight". An arrow points from the highlighted text to a sidebar that shows a annotation note that says "This could be a good fit for my related works section...""/></div></div></div><div class="blade"><div class="blade__grid blade__grid--full"><div class="blade__content"><h2 class="margin-top--none">Try Out Semantic Reader</h2><p class="p__intro p__intro--short">Here are examples of Semantic Reader operating over popular Computer Science papers across various subfields. The current design is best experienced on a full-size screen.</p></div><div class="w-layout-grid semantic-reader__examples"><ul role="list" class="semantic-reader__example-list w-list-unstyled"><li class="combo-title"><h6 class="combo-title__sub">NLP</h6><h5 class="combo-title__main">Natural Language Processing</h5></li><li><a href="https://www.semanticscholar.org/reader/8ff840a40d3f1557c55c19d4d636da77103168ce" target="_blank" class="semantic-reader__example">Deep Speech 2: End-to-End Speech Recognition in English and Mandarin</a></li><li><a href="https://www.semanticscholar.org/reader/7a064df1aeada7e69e5173f7d4c8606f4470365b" target="_blank" class="semantic-reader__example">ALBERT: A Lite BERT for Self-supervised Learning of Language Representations</a></li><li><a href="https://www.semanticscholar.org/reader/a486e2839291111bb44fa1f07731ada123539f75" target="_blank" class="semantic-reader__example">Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation</a></li></ul><ul role="list" class="semantic-reader__example-list w-list-unstyled"><li class="combo-title"><h6 class="combo-title__sub">CV</h6><h5 class="combo-title__main">Computer Vision</h5></li><li><a href="https://www.semanticscholar.org/reader/f01fc808592ea7c473a69a6e7484040a435f36d9" target="_blank" class="semantic-reader__example">Long-term Recurrent Convolutional Networks for Visual Recognition and Description</a></li><li><a href="https://www.semanticscholar.org/reader/88d346374f17189cebef7394ae5d39492443df89" target="_blank" class="semantic-reader__example">Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution</a></li><li><a href="https://www.semanticscholar.org/reader/23ffaa0fe06eae05817f527a47ac3291077f9e58" target="_blank" class="semantic-reader__example">Rethinking the Inception Architecture for Computer Vision</a></li></ul><ul role="list" class="semantic-reader__example-list w-list-unstyled"><li class="combo-title"><h6 class="combo-title__sub">ML</h6><h5 class="combo-title__main">Machine Learning</h5></li><li><a href="https://www.semanticscholar.org/reader/23ffaa0fe06eae05817f527a47ac3291077f9e58" target="_blank" class="semantic-reader__example">Conditional Generative Adversarial Nets</a></li><li><a href="https://www.semanticscholar.org/reader/1a2118bed729579528deb51e745d58dd3629baf6" target="_blank" class="semantic-reader__example">Learning Important Features Through Propagating Activation Differences</a></li><li><a href="https://www.semanticscholar.org/reader/df0402517a7338ae28bc54acaac400de6b456a46" target="_blank" class="semantic-reader__example">WaveNet: A Generative Model for Raw Audio</a></li><li><a href="https://www.semanticscholar.org/reader/41f1d50c85d3180476c4c7b3eea121278b0d8474" target="_blank" class="semantic-reader__example">Pixel Recurrent Neural Networks</a></li></ul></div><p>Send us your <a target="_blank" href="/about/contact">Semantic Reader feedback</a>.<br/></p></div></div><div class="blade blade--dark"><div class="blade__grid blade__grid--full"><div id="w-node-_30c78ce6-abd4-dfa9-010c-b3c1075401c9-287a896c" class="blade__content"><h2 class="heading-on-dark">Powered by State-of-the-Art Research</h2><p class="p__intro p__intro--short">Semantic Reader is based on research from the Semantic Scholar team at AI2, UC Berkeley and the University of Washington, and supported in part by the Alfred P. Sloan Foundation.<br/><br/></p><div class="w-layout-grid paper__grid paper__grid--1-1-1 margin-bottom--s"><div class="paper"><div class="paper__content"><a href="https://www.semanticscholar.org/paper/Augmenting-Scientific-Papers-with-Just-in-Time%2C-of-Head-Lo/0079692cd41bbf56e27f0744ec0fd595007dc9e7" target="_blank" class="link--paper-title">Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols</a><ul role="list" class="paper__meta w-list-unstyled"><li class="paper__meta-item"><div>September 2020</div></li><li class="paper__meta-item"><div>CHI</div></li></ul><p class="paper__abstract paper-list__paper-abstract"><strong class="pill">TLDR</strong>This work introduces ScholarPhi, an augmented reading interface with four novel features: tooltips that surface position-sensitive definitions from elsewhere in a paper, a filter over the paper that “declutters” it to reveal how the term or symbol is used across the paper, automatic equation diagrams that expose multiple definitions in parallel, and an automatically generated glossary of important terms and symbols.</p></div></div><div class="paper"><div class="paper__content"><a href="https://www.semanticscholar.org/paper/CiteRead%3A-Integrating-Localized-Citation-Contexts-Rachatasumrit-Bragg/277360f074e809135d4b49cf7fd2f572c0db6658" target="_blank" class="link--paper-title">CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading</a><ul role="list" class="paper__meta w-list-unstyled"><li class="paper__meta-item"><div>March 2022</div></li><li class="paper__meta-item"><div>IUI</div></li></ul><p class="paper__abstract paper-list__paper-abstract"><strong class="pill">TLDR</strong>A novel paper reading experience that integrates relevant information about follow-on work directly into a paper, allowing readers to learn about newer papers and see how a paper is discussed by its citing papers in the context of the reference paper.</p></div></div><div class="paper"><div class="paper__content"><a href="https://www.semanticscholar.org/paper/Scim%3A-Intelligent-Faceted-Highlights-for-Multi-Pass-Fok-Head/d1ca07561b24afe8b1bd18dd1c239dbbbd221964" target="_blank" class="link--paper-title">Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers</a><ul role="list" class="paper__meta w-list-unstyled"><li class="paper__meta-item"><div>May 2022</div></li><li class="paper__meta-item"><div>ArXiv</div></li></ul><p class="paper__abstract paper-list__paper-abstract"><strong class="pill">TLDR</strong>Scim is presented, an AI-augmented reading interface designed to help researchers skim papers by automatically identifying, classifying, and highlighting salient sentences, organized into rhetorical facets rooted in common information needs.</p></div></div></div></div></div></div></main><div class="cta__blade"><h4 class="cta__header">Experience a smarter way to search and discover scholarly research.</h4><a href="https://www.semanticscholar.org/sign-in" class="button button--hero w-button">Create Your Account</a></div><div class="post__list"><h4 class="post__list-heading">Latest News & Updates</h4><div class="w-dyn-list"><div role="list" class="post__grid w-dyn-items"><div role="listitem" class="post w-dyn-item"><a href="https://blog.allenai.org/case-study-iterative-design-for-skimming-support-5563dbe0899e" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0.png" loading="lazy" alt="Case Study: Iterative Design for Skimming Support" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-500.png 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-800.png 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-1080.png 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-1600.png 1600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-2000.png 2000w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-2600.png 2600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-3200.png 3200w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0.png 5834w" class="post__image"/></div><h4 class="post__title">Case Study: Iterative Design for Skimming Support</h4><div class="post__meta"><div class="post__date">Oct 6, 2023</div><div class="post__read-time">7 min read</div></div><p class="post__intro">How might we help researchers quickly assess the relevance of scientific literature? Take a closer look at Skimming, Semantic Reader’s latest AI feature, and the collaborative design process behind it.</p></a><div class="post__author">Cassidy Trier</div></div><div role="listitem" class="post w-dyn-item"><a href="https://blog.allenai.org/behind-the-scenes-of-semantic-scholars-new-author-influence-design-d7e007ba6a84" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM.png" loading="lazy" alt="Behind the Scenes of Semantic Scholar’s New Author Influence Design" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-500.png 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-800.png 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-1080.png 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-1600.png 1600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-2000.png 2000w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM.png 2150w" class="post__image"/></div><h4 class="post__title">Behind the Scenes of Semantic Scholar’s New Author Influence Design</h4><div class="post__meta"><div class="post__date">Aug 17, 2023</div><div class="post__read-time">5 min read</div></div><p class="post__intro">We released a new version of Author Influence interface to help scholars better discover other scholars in their fields. Here's how we identified user insights and made those design choices.</p></a><div class="post__author">Cassidy Trier, Evie Cheng, Ashley Lee</div></div><div role="listitem" class="post w-dyn-item"><a href="https://www.nature.com/articles/d41586-023-01907-z" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature.webp" loading="lazy" alt="Artificial-intelligence search engines wrangle academic literature" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-500.webp 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-800.webp 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-1080.webp 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature.webp 1248w" class="post__image"/></div><h4 class="post__title">Artificial-intelligence search engines wrangle academic literature</h4><div class="post__meta"><div class="post__date">Aug 7, 2023</div><div class="post__read-time">5 min read</div></div><p class="post__intro">Nature had a chat with Dan Weld, Chief Scientist at Semantic Scholar, to discuss how search engines are helping scientists explore and innovate by making it easier to draw connections from a massive collection of scientific literature.</p></a><div class="post__author">Amanda Heidt</div></div></div></div></div><div class="newsletter"><div class="newsletter__container"><div class="newsletter-layout"><h5 class="newsletter-title">Stay Connected With Semantic Scholar</h5><div class="newsletter-embed w-embed w-script"> <script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2.js"></script> <script> 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