1 citations · 2 across the 5 of their papers we have counts for
5 papers
K-EXAONE 2.0 Technical Report
Eunbi Choi, Kibong Choi, Sehyun Chun +74
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research as a step in our effort toward global frontier-scale foundatio…
From Documents to Segments: A Contextual Reformulation for Topic Assignment
Hoonsang Yoon, Takyoung Kim, Wonkee Lee +3
Traditional topic modeling assigns a single topic to each document. In practice, however, many real-world documents, such as product reviews or open-ended survey responses, contain…
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms
Wonkee Lee, Seong-Hwan Heo, Jong-Hyeok Lee
Semi-supervised learning that leverages synthetic data for training has been widely adopted for developing automatic post-editing (APE) models due to the lack of training data. Wit…
mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling
Seong-Hwan Heo, WonKee Lee, Jong-Hyeok Lee
Zero-shot slot filling has received considerable attention to cope with the problem of limited available data for the target domain. One of the important factors in zero-shot learn…
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs
WonKee Lee, Junsu Park, Byung-Hyun Go +1
Recent approaches to the Automatic Post-Editing (APE) research have shown that better results are obtained by multi-source models, which jointly encode both source (src) and machin…