Semantic Scholar
“Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.”
by Ai2
Our review
Built by the Allen Institute for AI, Semantic Scholar indexes millions of papers with AI summaries (TLDRs), citation graphs and research feeds.
Pros
- Completely free
- One-line paper summaries
Cons
- No chat-style answers
Being used for
- Finding and reading academic papers27 posts · X · HN · HN
- Research and fact-finding23 posts · X · HN · HN
Based on 38 public posts on X and Hacker News that describe using it · checked Oct 23, 2026
Use cases · Hear from users
Real posts from people using Semantic Scholar on X, sorted by engagement (English first).
1/ AI academic research assistants This thread has brief descriptions of AI assistants I've tried. The original one I tried, and still the one I use the most, is Semantic Scholar (thread below). It resembles social media UI and is very easy to learn. https://t.co/VmhwJOiofc
11 likes · 0 reposts · 1 repliesView on X ↗the recommended toolkit for a systematic literature review in 2026: PubMed, Semantic Scholar, Research Rabbit, Connected Papers, Elicit, Litmaps etc.. six tools. one review. nobody building the one search to replace them.
2 likes · 0 reposts · 0 repliesView on X ↗I use these tools for some of my research and I just felt like sharing: - Google Scholar🔥 (I’ve never gone wrong with this one) - Semantic Scholar (academic research) - Ahrefs (SEO and keyword research)
0 likes · 0 reposts · 1 repliesView on X ↗
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