What Are Research Hypotheses?
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Abstract (arXiv)
Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as we move toward a machine-interpretable scholarly record.
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References · 18
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
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- 2023Large Language Models for Automated Open-domain Scientific Hypotheses Discoverycited by 100
- 2024Hypothesis Generation with Large Language Modelscited by 71
- 2019Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approachescited by 65
- 2023Large Language Models are Zero Shot Hypothesis Proposerscited by 45
6 more
- 2025PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaborationcited by 28
- 2024Can Large Language Models Unlock Novel Scientific Research Ideas?cited by 24
- 2014The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twittercited by 21
- 2022BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examplescited by 15
- 2019Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learningcited by 12
- 2023Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciencescited by 6
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