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Michal Kosinski

Stanford University

13 papers hereh-index 5316.3k citations127 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • middle author8
  • last author1

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CV4
  • cs.LG1
  • cs.MA1
  • cs.SI1
affiliations
  • Stanford University
Homepage
same name
  • Michal Kosinski — 3 papers, h 2
  • Michal Kosinski — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedThinking Fast and Slow in Large Language Models

238 citations · 1k across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.MA2024★ 54 cited

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…

cs.CV2024★ 93 cited

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…

cs.CV2024

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)…

cs.CL2024★ 4 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.