activity
20242026
collaborators

7 papers

cs.CV2026

Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models

Jinwoo Jeon, GyuYeop Do, Yubin Lim +4

Large-scale vision-language models (VLM) such as CLIP enable strong open-vocabulary reasoning, yet deploying these capabilities on resource-constrained edge devices remains challen…

cs.SD2025

Whisfusion: Parallel ASR Decoding with Masked Diffusion

Taeyoun Kwon, Junhyuk Ahn, Taegeun Yun +7

Autoregressive (AR) encoder-decoder models dominate high-quality multilingual ASR, but their left-to-right decoders make inference latency scale with transcript length. A natural a…

cs.AI2025

MathReader : Text-to-Speech for Mathematical Documents

Sieun Hyeon, Kyudan Jung, Nam-Joon Kim +2

TTS (Text-to-Speech) document reader from Microsoft, Adobe, Apple, and OpenAI have been serviced worldwide. They provide relatively good TTS results for general plain text, but som…

cs.CL2024

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

Sieun Hyeon, Kyudan Jung, Jaehee Won +4

In various academic and professional settings, such as mathematics lectures or research presentations, it is often necessary to convey mathematical expressions orally. However, rea…

cs.CL2024

TeXBLEU: Automatic Metric for Evaluate LaTeX Format

Kyudan Jung, Nam-Joon Kim, Hyongon Ryu +3

LaTeX is suitable for creating specially formatted documents in science, technology, mathematics, and computer science. Although the use of mathematical expressions in LaTeX format…

cs.LG2024

MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into Formulas for Improved Readability

Kyudan Jung, Sieun Hyeon, Jeong Youn Kwon +4

Improving the readability of mathematical expressions in text-based document such as subtitle of mathematical video, is an significant task. To achieve this, mathematical expressio…

math.NA2024

Enhancing ASR Performance through OCR Word Frequency Analysis: Theoretical Foundations

Kyudan Jung, Nam-Joon Kim, Hyun Gon Ryu +1

As the interest in large language models grows, the importance of accuracy in automatic speech recognition has become more pronounced. This is especially true for lectures that inc…