Sign In
insight - Analogical Reasoning Dataset Creation
ParallelPARC: Generating Natural-Language Analogies at Scale
The authors present ParallelPARC, a pipeline leveraging Large Language Models to generate complex analogies and distractors. They demonstrate the creation of ProPara-Logy, a dataset for studying analogical reasoning in scientific processes.
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies
Analogical reasoning datasets are crucial for advancing AI systems, with humans outperforming models in recognizing complex analogies.
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies
Analogical reasoning datasets are crucial for AI advancement, showcasing the superiority of human cognition over current AI systems.
Products | Resources
Read more
- 쿼리-복구-쉬운-것부터-어려운-것까지
- 3d-포인트-클라우드-시퀀스를-2d-비디오로-변환하는-동적-방법
- ein-hybrides-modell-zur-erkennung-von-verkehrsunfällen-basierend-auf-generative-adversarial-networks-und-transformer-modell
- parabolic-pde-constrained-optimal-control-under-uncertainty-with-entropic-risk-measure-using-quasi-monte-carlo-integration
- eine-umfrage-zu-ki-generierten-text-forensiksystemen
- analyse-der-abfrage-wiederherstellung-von-einfach-bis-schwer
- dynamische-3d-punktwolkenfolgen-als-2d-videos-strukturierte-punktvideosequenzen
- 다른-부채-기술적-부채-데이터셋-보완과-개발자-성격을-활용한-시연
© 2024 by Linnk AI