Papers by Mahika Banerjee

1 papers
Talent or Luck? Evaluating Attribution Bias in Large Language Models (2026.findings-acl)

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Challenge: Existing studies on social biases in large language models focus on surface-level associations or isolated stereotypes.
Approach: They propose a cognitively grounded bias evaluation framework to capture demographic biases across three contexts: single-actor, actor–actor and actor–observer.
Outcome: The proposed framework captures comparative and perspective-driven biases overlooked in previous work.

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