Problems
By Jose A. Gomez, Maria Luisa Perez-Segui, R. A. Sáenz, R. Valdez. 2017
Subfields: Philosophy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sanjay Krishnan
- Zhangir Azerbayev
- M. Franklin
- Eugene Wu
- Ken Goldberg
- Hailey Schoelkopf
- Sean Welleck
- Keiran Paster
Citations in the corpus
- Llemma: An Open Language Model For Mathematics (2023, background): “Third, language models capable of strong mathematical reasoning are upstream of a number of research topics, such as reward modeling (Uesato et al., 2022; Lightman et al., 2023), reinforcement learning for reasoning (Polu et al., 2022; Lample et al., 2022), and algorithmic reasoning (Zhou et al.,…”
- BoostClean: Automated Error Detection and Repair for Machine Learning (2017, background): “literature highlight the prevalence, variety, and importance of this class of errors, which include missing data, incorrect data, or inconsistent representations of the same logical data value [25,29,33,39].”
- Developing Open-Source Scientific Practice * (2018, background): “There is an extensive and growing literature on stylistic aspects of good programming [3, 9, 17, 13, 21].”
- VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations (2020, background): “These labels were divided into 2 categories: local labels (1-22) and global labels (23-28).”