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cs.CL2025
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…
cs.CL2025
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…
cs.CL2025
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…