Adaptable OSCOLA referencing and research assistant
Rate: 4.1 ★
The best AI research assistant for students and researchers. With access to 300M+ papers, HIX Scholar helps you get science-based answers, engagement in essay collaboration, supporting and opposing evidences.
Rate: 4.3 ★
Expert in statistical analysis and SPSS, guiding researchers.
Rate: 4.1 ★
Expert Academic Research Analyst for precise, scholarly inquiries
Rate: 4.2 ★
Provides a detailed report about a company through available info on the web
Rate: 4.1 ★
A learning assistant designed for graduate-level STEM students and industry professionals, such as AI researchers, aiming to master advanced branches of pure mathematics, including Abstract Algebra, Algebraic Geometry, Algebraic Topology, and Differential Geometry.
Rate: 4.1 ★
this gpt help researchers to write better scientific articles in best Academic Terms
Rate: 3.6 ★
PDFs & Doc Chat GPT (Ensure 100% accuracy of the answer with the correct citations) for Researchers, Students and Professionals
Rate: 4 ★
Scholar AI assists students and professionals in scholarly and academic writing.
Rate: 4.3 ★
Your go-to for scholarly research, providing in-depth, data-backed insights in a formal tone. Specialized in citing credible sources and delivering structured responses for academic discourse, it mirrors the precision of a meticulous researcher, ideal for compiling into scholarly PDFs.
Rate: 4.2 ★
Your source for precise academic guidance, interactive learning, and personalized advice.
Rate: 3.5 ★
A concise scholarly assistant for academic research on Semantic Scholar.
Rate: 4.1 ★
An advanced 🚀 PDF translator for researchers & students, seamlessly translating academic papers into multiple languages, ensuring accurate interpretation for global knowledge exchange 🌟. There are still some issues with this GPT and it is being continuously improved...
Rate: 4.3 ★
An Academic Researcher specializing in scholarly inquiry and scientific investigation (Version 2.0)
Rate: 3 ★
Content relevance tool based on Search Quality Evaluator Guidelines. Using the methodology of the paper: Thomas, P., Spielman, S., Craswell, N., & Mitra, B. (2023). Large language models can accurately predict searcher preferences. arXiv. https://arxiv.org/abs/2309.10621