activity
20202024
most citedViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

540 citations · 553 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 7 cited

HyperCLOVA X Technical Report

Kang Min Yoo, Jaegeun Han, Sookyo In +393

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…

cs.CL2024★ 2 cited

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models

Yukyung Lee, Soonwon Ka, Bokyung Son +2

Large Language Models (LLMs) have impacted the writing process, enhancing productivity by collaborating with humans in content creation platforms. However, generating high-quality,…

cs.CL2022★ 3 cited

Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification

Jimin Hong, Jungsoo Park, Daeyoung Kim +3

With contrastive pre-training, sentence encoders are generally optimized to locate semantically similar samples closer to each other in their embedding spaces. In this work, we foc…

stat.ML2021★ 540 cited

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Wonjae Kim, Bokyung Son, Ildoo Kim

Vision-and-Language Pre-training (VLP) has improved performance on various joint vision-and-language downstream tasks. Current approaches to VLP heavily rely on image feature extra…

cs.CL2020★ 1 cited

Revisiting Modularized Multilingual NMT to Meet Industrial Demands

Sungwon Lyu, Bokyung Son, Kichang Yang +1

The complete sharing of parameters for multilingual translation (1-1) has been the mainstream approach in current research. However, degraded performance due to the capacity bottle…