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cs.CL2025
Implicit Bias in LLMs: A Survey
Xinru Lin, Luyang Li
Due to the implement of guardrails by developers, Large language models (LLMs) have demonstrated exceptional performance in explicit bias tests. However, bias in LLMs may occur not…
cs.CL2024
Assessing the potential of LLM-assisted annotation for corpus-based pragmatics and discourse analysis: The case of apology
Danni Yu, Luyang Li, Hang Su +1
Certain forms of linguistic annotation, like part of speech and semantic tagging, can be automated with high accuracy. However, manual annotation is still necessary for complex pra…