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cs.CL2026
When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment
Robinson Ferrer, Damla Turgut, Zhongzhou Chen +1
Large Language Models (LLMs) show promise for automated grading, but their outputs can be unreliable. Rather than improving grading accuracy directly, we address a complementary pr…
cs.CL2025
Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
Saad Almohaimeed, Saleh Almohaimeed, Damla Turgut +1
Implicit hate speech has recently emerged as a critical challenge for social media platforms. While much of the research has traditionally focused on harmful speech in general, the…