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cs.CL2026
Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
Injin Kong, Hyoungjoon Lee, Yohan Jo
Continuous diffusion language models require choosing a representation space in which denoising operates, yet it remains unclear which representations are most compatible with diff…
cs.CL2025
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models
Jongwook Han, Jongwon Lim, Injin Kong +1
Large language models can express values in two main ways: (1) intrinsic expression, reflecting the model's inherent values learned during training, and (2) prompted expression, el…
cs.CL2025
Style Extraction on Text Embeddings Using VAE and Parallel Dataset
InJin Kong, Shinyee Kang, Yuna Park +2
This study investigates the stylistic differences among various Bible translations using a Variational Autoencoder (VAE) model. By embedding textual data into high-dimensional vect…