Experiments show prompt injection boosts resume rankings in LLM screening when rare and qualities homogeneous, but fails when common or qualities differ.
``You Gotta be a Doctor, Lin'' : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
2 Pith papers cite this work. Polarity classification is still indexing.
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LLMs show minimal sociodemographic disparities in advice because they infer user demographics poorly from history; conversation topics are the main predictor and act as proxies for groups.
citing papers explorer
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Prompt Injection in Automated R\'esum\'e Screening with Large Language Models: Single and Multi-Injection Settings
Experiments show prompt injection boosts resume rankings in LLM screening when rare and qualities homogeneous, but fails when common or qualities differ.
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Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers
LLMs show minimal sociodemographic disparities in advice because they infer user demographics poorly from history; conversation topics are the main predictor and act as proxies for groups.