Search Results for author: Bokyung Son

Found 6 papers, 1 papers with code

AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue

no code implementations EMNLP 2020 JaeHun Jung, Bokyung Son, Sungwon Lyu

Retrieving the proper knowledge relevant to conversational context is an important challenge in dialogue systems, to engage users with more informative response.

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models

no code implementations22 Apr 2024 Yukyung Lee, Soonwon Ka, Bokyung Son, Pilsung Kang, Jaewook Kang

Large Language Models (LLMs) have significantly impacted the writing process, enabling collaborative content creation and enhancing productivity.

Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification

no code implementations20 Dec 2022 Jimin Hong, Jungsoo Park, Daeyoung Kim, Seongjae Choi, Bokyung Son, Jaewook Kang

With contrastive pre-training, sentence encoders are generally optimized to locate semantically similar samples closer to each other in their embedding spaces.

Descriptive Multiple-choice +8

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

5 code implementations5 Feb 2021 Wonjae Kim, Bokyung Son, Ildoo Kim

Vision-and-Language Pre-training (VLP) has improved performance on various joint vision-and-language downstream tasks.

Cross-Modal Retrieval Image Retrieval +5

Sparse and Decorrelated Representations for Stable Zero-shot NMT

no code implementations Findings of the Association for Computational Linguistics 2020 Bokyung Son, Sungwon Lyu

Using a single encoder and decoder for all directions and training with English-centric data is a popular scheme for multilingual NMT.

NMT Translation

Revisiting Modularized Multilingual NMT to Meet Industrial Demands

no code implementations EMNLP 2020 Sungwon Lyu, Bokyung Son, Kichang Yang, Jaekyoung Bae

The complete sharing of parameters for multilingual translation (1-1) has been the mainstream approach in current research.

Machine Translation NMT +1

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