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cs.CL2026
Bias Association Discovery Framework for Open-Ended LLM Generations
Jinhao Pan, Chahat Raj, Ziwei Zhu
Social biases embedded in Large Language Models (LLMs) raise critical concerns, resulting in representational harms -- unfair or distorted portrayals of demographic groups -- that…
cs.CL2025
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
Bowen Wei, Yuan Shen Tay, Howard Liu +4
Security Operations Centers (SOCs) are overwhelmed by tens of thousands of daily alerts, with only a small fraction corresponding to genuine attacks. This overload creates alert fa…
cs.CL2025
What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
Jinhao Pan, Chahat Raj, Ziyu Yao +1
Large Language Models (LLMs) often exhibit social biases inherited from their training data. While existing benchmarks evaluate bias by term-based mode through direct term associat…