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cs.CL2025
Demasking Fine-Tuning for Knowledge Injection in Autoregressive and Diffusion LLMs
Xu Pan, Ely Hahami, Jingxuan Fan +2
Large language models (LLMs) are often used in environments where facts evolve, yet factual knowledge updates via fine-tuning on unstructured plain text often suffer from 1) relian…
cs.CL2025
User-Assistant Bias in LLMs
Xu Pan, Jingxuan Fan, Zidi Xiong +3
Modern large language models (LLMs) are typically trained and deployed using structured role tags (e.g. system, user, assistant, tool) that explicitly mark the source of each piece…