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Messi H.J. Lee

Washington University in St.Louis

11 papers hereh-index 385 citations15 works total

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

author position
  • sole author4
  • first author6
  • middle author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.CL3
  • cs.AI1
  • cs.CY1
  • physics.soc-ph1
affiliations
  • Washington University in St.Louis
Homepage

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLarge Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

43 citations · 46 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025★ 1 cited

Token-Level Entropy Reveals Demographic Disparities in Large Language Models

Messi H. J. Lee

A name alone measurably reshapes a language model's next-token distribution before a single token is sampled. We measure full-vocabulary Shannon entropy of the next-token distribut…

cs.CL2024★ 1 cited

Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4

Messi H. J. Lee, Calvin K. Lai

Homogeneity bias in Large Language Models (LLMs) refers to their tendency to homogenize the representations of some groups compared to others. Previous studies documenting this bia…

cs.CL2024★ 43 cited

Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

Messi H. J. Lee, Jacob M. Montgomery, Calvin K. Lai

Large language models (LLMs) are becoming pervasive in everyday life, yet their propensity to reproduce biases inherited from training data remains a pressing concern. Prior invest…

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