Elicit.org
Elicit is a new AI enabled technical search engine.[1][2][3][4][5][6] [7] [8][9][10] It uses large language model (LLM) artificial intelligence (AI) technology to improve the quality of search responses.[11][12]
In response to complex queries, Elicit returns a list of papers along with full abstracts and full bibliographic information. Where available, direct links to PDF versions are provided for convenience. Elicit also allows for export of the list of references to a CSV or BIBLIO file formats.[13][14]
References
- ↑ Kung, Janice (2023-04-01). "Elicit (product review)". Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada. 44 (1): 15–18. doi:10.29173/jchla29657. ISSN 1708-6892. PMC 10089336 Check
|pmc=value (help). - ↑ "These AI tools could help boost your academic research". euronews. 2023-08-07. Retrieved 2023-09-20.
- ↑ "Elicit vs. SciSpace: Best AI tools for Literature Review". SciSpace Resources. 2023-08-18. Retrieved 2023-09-20.
- ↑ "Elicit.org - an impressive new academic search engine that leverages Large Language Models including OpenAI's GPT models". Singapore Management University (SMU). 2023-05-02. Retrieved 2023-09-20.
- ↑ "Charting the Future of Scientific Literature Exploration with AI: Introducing Elicit.org – HSLS Update". Retrieved 2023-09-20.
- ↑ "AI science search engines are exploding in number".
- ↑ Raftis, Ric (2022-12-11). "How to use Elicit Research Artificial Intelligence for Better Results". Medium. Retrieved 2023-04-19.
- ↑ Reid, Valerie. "LibGuides: Literature Searching: Elicit - The AI Research Assistant". oakland.libguides.com. Retrieved 2023-04-19.
- ↑ "Eliciting Effectiveness of Elicit (AI research lit review tool)". OE Global Connect. 2022-09-21. Retrieved 2023-04-19.
- ↑ stuhlmueller; jungofthewon. "Elicit: Language Models as Research Assistants".
- ↑ Van Noorden, Richard (2022-04-28). "How language-generation AIs could transform science". Nature. 605 (7908): 21. Bibcode:2022Natur.605...21V. doi:10.1038/d41586-022-01191-3. PMID 35484343 Check
|pmid=value (help). Unknown parameter|s2cid=ignored (help) - ↑ Leeming, Jack (2023-04-06). "Searching the web for science: how small mistakes create big problems". Nature. doi:10.1038/d41586-023-01011-2. PMID 37024585 Check
|pmid=value (help). Unknown parameter|s2cid=ignored (help) - ↑ elicit.org https://elicit.org/. Retrieved 2023-04-19. Missing or empty
|title=(help) - ↑ "Elicit | Ought". ought.org. Retrieved 2023-04-19.
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