Solomon Messing
Artificial Intelligence · 2012–2023
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Sociology and Political Science — 22 citations into it; #3,959 of 22,756 by trust here, #1,739 by citations
- Political Science and International Relations — 18 citations into it; #3,706 of 4,701 by trust here, #1,312 by citations
- Economics and Econometrics — 13 citations into it
- Communication — 12 citations into it; #544 of 3,460 by trust here, #237 by citations
- General Social Sciences — 9 citations into it
- Safety Research — 5 citations into it
Whom Solomon Messing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin Grimmer
- Michael D. Buhrmester
- Daniel Kahneman
- R. Kelly Garrett
- R. Erikson
- Gerd Gigerenzer
- Charles Taber
- B. Sundar
- Samuel D. Gosling
- Seongho Kim
Who trusts Solomon Messing overall
- Iyad Rahwan
- Emily K. Vraga
- Kevin Munger
- A. Guess
- Leticia Bode
- Richard Fletcher
- Michael A. Beam
- Stephan Winter
- E. Peterson
- Dimitar Nikolov
Papers from Solomon Messing's perspective
Ordered by how strongly the researchers Solomon Messing trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Proximal Policy Optimization Algorithms (arXiv.org)
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- A weakly informative default prior distribution for logistic and other regression models
- Improvements to Platt's SMO Algorithm for SVM Classifier Design (Neural Computation)
- Motivated Skepticism in the Evaluation of Political Beliefs
- Field Experiments: Design, Analysis, and Interpretation
- The Impression of Influence
Their papers
- Exposure to ideologically diverse news and opinion on Facebook (2015) — 2,992 citations
- Selective Exposure in the Age of Social Media (2014) — 907 citations
- The Impression of Influence (2014) — 89 citations
- Large Language Models Can Be Used to Estimate the Ideologies of Politicians in a Zero-Shot Learning Setting (2023) — 28 citations
- Large Language Models Can Be Used to Estimate the Latent Positions of Politicians (2023) — 41 citations
- Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods (2017) — 142 citations
- How Words and Money Cultivate a Personal Vote: The Effect of Legislator Credit Claiming on Constituent Credit Allocation (2012) — 208 citations