7 citations · 7 across the 3 of their papers we have counts for
4 papers
Recovering Low-Bit Failures in Vision-Language-Action Policies via Quantization-Conditioned Reinforcement Learning
Seongmin Park, Jaewon Lee, Yujun Heo +4
Quantization lowers deployment costs of vision-language-action (VLA) policies but can compromise task completion. Across five VLA models and 4,050 real-world trials, we systematica…
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains
Yoonsik Kim, Moonbin Yim, Ka Yeon Song
In this paper, we establish a benchmark for table visual question answering, referred to as the TableVQA-Bench, derived from pre-existing table question-answering (QA) and table st…
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…
On Web-based Visual Corpus Construction for Visual Document Understanding
Donghyun Kim, Teakgyu Hong, Moonbin Yim +2
In recent years, research on visual document understanding (VDU) has grown significantly, with a particular emphasis on the development of self-supervised learning methods. However…