How to Use AI Paper Search?
Type keywords, sentences, or research questions into AI Chat to find papers
from over 280 million entries via semantic search. Results are ranked by
relevance with title, authors, publication info, and scores. Only verified
databases are used, so no hallucinated citations.
How Do You Use Paper Search?
Enter your search query in the AI chat to run Paper Search.
Step 1 — Enter Your Search Query
Enter keywords or a research topic in the search bar. You can enter short keywords or full sentence questions.
- Keyword input: "transformer attention mechanism NLP"
- Natural language input: "Performance comparison of pre-trained models in text sentiment analysis"
- Research question input: "What is the impact of data augmentation techniques on diagnostic accuracy in deep learning-based medical image analysis?"
Step 2 — Review Results
Review a list of papers sorted by relevance. Each result displays the title, authors, publication info, and relevance score.
What Are the Key Features?
Semantic AI search, hallucination-free results, and responses within seconds are the key features.
Semantic (Meaning-Based) Search
Goes beyond simple keyword matching — it understands the meaning of your search query to find related papers. You can discover relevant papers even without knowing the exact academic terminology.
Hallucination-Free Results
Results come exclusively from a verified academic database. No fabricated papers will appear in the results.
Results in Seconds
Get results quickly without any additional analysis processing time.
When Should You Use Paper Search?
It is most useful when you need to locate a specific paper or rapidly scan papers to cite.
- When you want to quickly find a specific paper by title or keyword
- When you want to quickly survey the list of papers related to your research topic
- When you need to rapidly find papers to cite
How Is Paper Search Billed?
Paper Search is billed based on credits. For plan-specific details, see the Pricing page.