1 citations · 2 across the 6 of their papers we have counts for
6 papers
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
Taehee Kim, Seungbin Yang, Jihwan Kim +1
Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such as text-to-SQL. Existing table…
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
Seungbin Yang, ChaeHun Park, Taehee Kim +1
Recent advancements in integrating large language models (LLMs) with tools have allowed the models to interact with real-world environments. However, these tool-augmented LLMs ofte…
PePe: Personalized Post-editing Model utilizing User-generated Post-edits
Jihyeon Lee, Taehee Kim, Yunwon Tae +2
Incorporating personal preference is crucial in advanced machine translation tasks. Despite the recent advancement of machine translation, it remains a demanding task to properly r…
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
Taehee Kim, ChaeHun Park, Jimin Hong +3
Semantically meaningful sentence embeddings are important for numerous tasks in natural language processing. To obtain such embeddings, recent studies explored the idea of utilizin…
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain
Jimin Hong, Taehee Kim, Hyesu Lim +1
During the fine-tuning phase of transfer learning, the pretrained vocabulary remains unchanged, while model parameters are updated. The vocabulary generated based on the pretrained…
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Cheonbok Park, Yunwon Tae, Taehee Kim +4
Unsupervised machine translation, which utilizes unpaired monolingual corpora as training data, has achieved comparable performance against supervised machine translation. However,…