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Psychological assessment using self-report Likert items suffers from numerous inherent biases. These biases limit our capability to assess complex psychological constructs such as Future Self-Continuity (FSC), i.e. the perceived connection between one’s present and future self. However, recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) have opened new possibilities for psychological […]

Effective generation of novel hypotheses is instrumental to scientific progress. So far, researchers have been the main powerhouse behind hypothesis generation by painstaking data analysis and thinking (also known as the Eureka moment). In this paper, we examine the potential of large language models (LLMs) to generate hypotheses. We focus on hypothesis generation based on […]

The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across various domains. However, when applied to scientific research, these powerful models exhibit critical failure modes related to scientific integrity and trustworthiness. Existing general-purpose LLM guardrails are insufficient to address these unique challenges […]

The purpose of this paper is to explore the potential application of ChatGPT in relation to grounded theory. Our focus is building a case as to its usefulness to support the research process as an assistant to the researcher, rather than to replace the intellectual rigour needed to conduct credible grounded theory research. To aid […]

Scientific progress depends on researchers’ ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific queries by identifying relevant passages from 45 million open-access papers and synthesizing citation-backed responses. To evaluate OpenScholar, we develop ScholarQABench, the first […]

The advent of large language models (LLMs) presents a promising opportunity for how we analyze text and, by extension, can study the role of culture and symbolic meanings in social life. Using an illustrative example focused on the concept of “personalized service” within Michelin-starred restaurants, this research note demonstrates how LLMs can reliably identify complex, […]