2 citations · 3 across the 11 of their papers we have counts for
11 papers
Measuring Behavior Portability in Large Language Models
Tianjia Dong, Nadav Kunievsky, James A. Evans
Large language models are increasingly deployed as autonomous decision makers, yet the behavioral mapping they exhibit can vary substantially across decision environments that are…
U.S. Technological Containment and the Rise of China's Open AI Ecosystem
Wang Jin, Nadav Kunievsky, Bowen Lou +2
Over the past decade, U.S. policies have increasingly aimed to preserve artificial intelligence (AI) leadership by promoting domestic free-market policies while controlling global…
The Effect of Age at Arrival on the Alignment Between Immigrant and Native-Born Gender Norms: A Distributional Approach
Nadav Kunievsky
This paper examines how age at migration affects cultural assimilation by studying convergence in gender role attitudes between immigrants and the UK-born population. Although cult…
PreScience: A Dataset and Benchmark for Scientific Forecasting
Anirudh Ajith, Amanpreet Singh, Jay DeYoung +7
Can AI systems trained on the existing scientific record forecast the advances that will follow? We introduce PreScience, a dataset and benchmark for scientific forecasting built a…
Content vs. Form: What Drives the Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach
Nadav Kunievsky, Pedro Pertusi
Students from different socioeconomic backgrounds exhibit persistent gaps in test scores, gaps that can translate into unequal educational and labor-market outcomes later in life.…
Linear Regression in a Nonlinear World
Nadav Kunievsky
The interpretation of coefficients from multivariate linear regression relies on the assumption that the conditional expectation function is linear in the variables. However, in ma…
Polarization by Design: How Elites Could Shape Mass Preferences as AI Reduces Persuasion Costs
Nadav Kunievsky
In democracies, major policy decisions typically require some form of majority or consensus, so elites must secure mass support to govern. Historically, elites could shape support…
The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
Danqing Chen, Carina Kane, Austin Kozlowski +2
Large Language Models have spread rapidly since the release of ChatGPT in late 2022, accompanied by claims of major productivity gains but also concerns about job displacement. Thi…
Biased AI improves human performance but reduces perceived helpfulness
Shiyang Lai, Jiwoong Choi, Junsol Kim +3
Artificial intelligence (AI) increasingly shapes how people think, engage, and evaluate information. To minimize risk, most current systems are designed to present as ideologically…
Measuring Intent Comprehension in LLMs
Nadav Kunievsky, James A. Evans
People judge interactions with large language models (LLMs) as successful when outputs match what they want, not what they type. Yet LLMs are trained to predict the next token sole…
Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding
Siyang Wu, Honglin Bao, Nadav Kunievsky +1
While large language models (LLMs) excel at factual recall, the real challenge lies in knowledge application. A gap persists between their ability to answer complex questions and t…