1 citations · 1 across the 6 of their papers we have counts for
7 papers
Pattern Over-Generalization of Knowledge Graph Embedding
Junsik Kim, Kangil Kim
Knowledge graph embedding (KGE) demonstrates its effectiveness for predicting missing links in knowledge graphs (KGs) by projecting entities and relations into a low-dimensional ve…
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction
Jinwook Park, Kangil Kim
Unsupervised neural grammar induction aims to learn interpretable hierarchical structures from language data. However, existing models face an expressiveness bottleneck, often resu…
Preference Distillation via Value based Reinforcement Learning
Minchan Kwon, Junwon Ko, Kangil Kim +1
Direct Preference Optimization (DPO) is a powerful paradigm to align language models with human preferences using pairwise comparisons. However, its binary win-or-loss supervision…
RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph
Junsik Kim, Jinwook Park, Kangil Kim
In knowledge graph embedding, leveraging relation specific entity transformation has markedly enhanced performance. However, the consistency of embedding differences before and aft…
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
Jinwook Park, Kangil Kim
Neural parameterization has significantly advanced unsupervised grammar induction. However, training these models with a traditional likelihood loss for all possible parses exacerb…
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024
Jinwoo Ahn, Junhyeok Park, Min-Jun Kim +6
In this paper, the solution of HYU MLLAB KT Team to the Multimodal Algorithmic Reasoning Task: SMART-101 CVPR 2024 Challenge is presented. Beyond conventional visual question-answe…
Enhanced Simultaneous Machine Translation with Word-level Policies
Kang Kim, Hankyu Cho
Recent years have seen remarkable advances in the field of Simultaneous Machine Translation (SiMT) due to the introduction of innovative policies that dictate whether to READ or WR…