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Maria Vanina Martinez

5 papers hereh-index 212 citations11 works total

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

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL1
same name
  • Maria Vanina Martinez — 4 papers, h 22
  • Maria Vanina Martinez — 2 papers, h 1
  • Maria Vanina Martinez — 2 papers, h 1

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
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

A Natural Language Agentic Approach to Study Affective Polarization

Stephanie Anneris Malvicini, Ewelina Gajewska, Arda Derbent +3

Affective polarization has been central to political and social studies, with growing focus on social media, where partisan divisions are often exacerbated. Real-world studies tend…

cs.AI2025

Do Large Language Models Show Biases in Causal Learning? Insights from Contingency Judgment

María Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco +4

Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process…

cs.AI2025

A Conceptual Framework for AI Capability Evaluations

María Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco +7

As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence…

cs.AI2024

Do Large Language Models Show Biases in Causal Learning?

Maria Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester +4

Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process…

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