The Empowerment of Science of Science by Large Language Models: New Tools and Methods
PositiveArtificial Intelligence
- Large language models (LLMs) are at the forefront of advancements in natural language understanding and generation, with significant implications for the Science of Science (SciSci). This review highlights their core technologies and potential applications in scientific evaluation.
- The development of LLMs is crucial as they enhance capabilities in various domains, potentially transforming how scientific research is conducted and evaluated. Their integration into the SciSci framework could lead to more efficient knowledge generation.
- The ongoing evolution of LLMs raises important discussions about their reliability and biases, particularly in structured outputs and hallucination mitigation, underscoring the need for robust frameworks to ensure accuracy and diversity in AI
— via World Pulse Now AI Editorial System