81 citations · 91 across the 4 of their papers we have counts for
5 papers
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
Daejin Jo, Jeeyoung Yun, Byungseok Roh +1
With the rapid progress of speech language models (SLMs), discrete speech tokens have emerged as a core interface between speech and text, enabling unified modeling across modaliti…
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Jawook Gu, Kihyun You, Han-Cheol Cho +3
Free-text radiology reports present a rich data source for various medical tasks, but effectively labeling these texts remains challenging. Traditional rule-based labeling methods…
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
In Multimodal Large Language Models (MLLMs), a visual projector plays a crucial role in bridging pre-trained vision encoders with LLMs, enabling profound visual understanding while…
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
Dohwan Ko, Ji Soo Lee, Wooyoung Kang +2
Large Language Models (LLMs) have shown remarkable performances on a wide range of natural language understanding and generation tasks. We observe that the LLMs provide effective p…
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
Kihyun You, Jawook Gu, Jiyeon Ham +5
A large-scale image-text pair dataset has greatly contributed to the development of vision-language pre-training (VLP) models, which enable zero-shot or few-shot classification wit…