238 citations · 1k across the 12 of their papers we have counts for
13 papers
Artificial entrepreneurial cognition: Locating and causally steering an opportunity recognition dial inside large language models (LLMs)
Christian Fisch, Angela Altmeier, Martin Obschonka +2
Entrepreneurial cognition is a foundation of entrepreneurship research. Yet the growing involvement of large language models (LLMs) in entrepreneurial work extends the cognition qu…
Crowd IQ -- Aggregating Opinions to Boost Performance
Michal Kosinski, Yoram Bachrach, Thore Graepel +2
We show how the quality of decisions based on the aggregated opinions of the crowd can be conveniently studied using a sample of individual responses to a standard IQ questionnaire…
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies
Michal Kosinski
A growing number of studies have linked facial width-to-height ratio (fWHR) with various antisocial or violent behavioral tendencies. However, those studies have predominantly been…
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models
Zhawnen Chen, Tianchun Wang, Yizhou Wang +4
Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM)…
Evaluating Language Model Agency through Negotiations
Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski +4
We introduce an approach to evaluate language model (LM) agency using negotiation games. This approach better reflects real-world use cases and addresses some of the shortcomings o…
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models -- and Disappeared in GPT-4
Thilo Hagendorff, Sarah Fabi
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate…
Facial recognition technology and human raters can predict political orientation from images of expressionless faces even when controlling for demographics and self-presentation
Michal Kosinski, Poruz Khambatta, Yilun Wang
Carefully standardized facial images of 591 participants were taken in the laboratory, while controlling for self-presentation, facial expression, head orientation, and image prope…
Evaluating Large Language Models in Theory of Mind Tasks
Michal Kosinski
Eleven Large Language Models (LLMs) were assessed using a custom-made battery of false-belief tasks, considered a gold standard in testing Theory of Mind (ToM) in humans. The batte…
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate…
Darts: User-Friendly Modern Machine Learning for Time Series
Julien Herzen, Francesco Lässig, Samuele Giuliano Piazzetta +16
We present Darts, a Python machine learning library for time series, with a focus on forecasting. Darts offers a variety of models, from classics such as ARIMA to state-of-the-art…
What your Facebook Profile Picture Reveals about your Personality
Cristina Segalin, Fabio Celli, Luca Polonio +5
People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their pe…
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Vivek Kulkarni, Margaret L. Kern, David Stillwell +5
Over the past century, personality theory and research has successfully identified core sets of characteristics that consistently describe and explain fundamental differences in th…
Psycho-Demographic Analysis of the Facebook Rainbow Campaign
Yilun Wang, Himabindu Lakkaraju, Michal Kosinski +1
Over the past decade, online social media has had a tremendous impact on the way people engage in social activism. For instance, about 26M Facebook users expressed their support in…