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cs.CL2025
Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models
Bumjin Park, Jinsil Lee, Jaesik Choi
Large language models (LLMs) are increasingly engaging in moral and ethical reasoning, where criteria for judgment are often unclear, even for humans. While LLM alignment studies c…
cs.CL2024
Identifying the Source of Generation for Large Language Models
Bumjin Park, Jaesik Choi
Large language models (LLMs) memorize text from several sources of documents. In pretraining, LLM trains to maximize the likelihood of text but neither receives the source of the t…
cs.CL2024
Memorizing Documents with Guidance in Large Language Models
Bumjin Park, Jaesik Choi
Training data plays a pivotal role in AI models. Large language models (LLMs) are trained with massive amounts of documents, and their parameters hold document-related contents. Re…