Using Large Language Models for Hypotheses and Claims Extraction from Scientific Literature

We present a novel dataset for hypothesis and claim extraction from research papers in the interdisciplinary domain of social infertility. We use OpenAI's o1-mini reasoning LLM to create the dataset by extracting hypotheses and claims, which are then manually validated. Then we also use smaller closed and open-weight LLMs to create a benchmark for hypothesis and claim extraction.