6 citations · 6 across the 4 of their papers we have counts for
5 papers
Symbol Distributions in Semantic Communications: A Source-Channel Equilibrium Perspective
Hanju Yoo, Dongha Choi, Songkuk Kim +2
Semantic communication systems often use end-to-end neural networks to map input data into continuous symbols. These symbols, which are essentially neural network features, have fi…
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
Hanju Yoo, Dongha Choi, Yonghwi Kim +4
Semantic communications aim to enhance transmission efficiency by jointly optimizing source coding, channel coding, and modulation. While prior research has demonstrated promising…
Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders
Wonseok Shin, Songkuk Kim
Dense sentence embeddings are fundamental to modern Retrieval-Augmented Generation (RAG) systems but suffer from a lack of interpretability due to feature superposition. This opaci…
DebFilter: Eradicating Biases Stashed in Value
Seung Hyuk Lee, Songkuk Kim
Text-to-image diffusion models, which are theoretically equivalent to score-based generative models, generate images through a multi-step denoising process guided by text embedding…
Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection
Ahyoung Oh, Wonseok Shin, Songkuk Kim
Sparse Autoencoders (SAEs) have demonstrated significant success in interpreting Large Language Models (LLMs) by decomposing dense representations into sparse, semantic components.…