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cs.CV2026
Structured State-Space Regularization for Generation-Friendly Image Tokenization
Jinsung Lee, Jaemin Oh, Namhun Kim +3
Image tokenizers play a central role in modern generative models, where the structure of the latent space critically determines the downstream generation performance. A key but und…
cs.LG2026
Personalized Federated Learning for Gradient Alignment
Dongwon Kim, Gyuejeong Lee
Personalized federated learning (pFL) aims to adapt models to client specific data distributions, yet it often fails to reliably preserve personalized information. Local training i…
cs.CL2026
Raon-Speech Technical Report
Beomsoo Kim, Changho Choi, Dohyun Kim +23
We present Raon-Speech, a top-performing 9B-parameter speech language model (SpeechLM) for English and Korean speech understanding, answering, and generation, and Raon-SpeechChat,…