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cs.CL2025
STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models
Geunyeong Jeong, Juoh Sun, Seonghee Lee +1
Large Language Models store extensive factual knowledge acquired during large-scale pre-training. However, this knowledge is inherently static, reflecting only the state of the wor…
cs.CL2025
Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation
Kyubeen Han, Junseo Jang, Hongjin Kim +2
Instruction-tuning enhances the ability of large language models (LLMs) to follow user instructions more accurately, improving usability while reducing harmful outputs. However, th…