Elamur Research⌕
☰
home / papers / PHYRE: A New Benchmark for Physical Reasoning / cited by

Who cites «PHYRE: A New Benchmark for Physical Reasoning»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «PHYRE: A New Benchmark for Physical Reasoning»

  1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  2. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  3. Discovering Symbolic Models from Deep Learning with Inductive BiasesarXiv:2006.11287Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.2020 · 272 citations
  4. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
  5. PROST: Physical Reasoning about Objects through Space and TimeFindings of the Association for Computational LinguisticsStéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.2021 · 40 citations
  6. CoPhy: Counterfactual Learning of Physical DynamicsarXiv:1909.12000Fabien Baradel, Natalia Neverova, Julien Mille, et al.2019 · 40 citations
  7. Physion: Evaluating Physical Prediction from Vision in Humans and MachinesarXiv:2106.08261Daniel M. Bear, Elias Wang, Damian Mrowca, et al.2021 · 23 citations
  8. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language ModelsarXiv:2502.00334Xin Xu, Qiyun Xu, Tong Xiao, et al.2025 · 19 citations

15 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/cited-by/