Jung-Woo Ha
5 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
2021 · ArXiv.org
In recent years, graph neural networks (GNNs) have been widely adopted in the representation learning of graph-structured data and provided state-of-the-art performance in various applications such as link prediction, node classification, and recommendation. Motivated by …
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Weakly Supervised Pre-Training for Multi-Hop Retriever
2021
In multi-hop QA, answering complex questions entails iterative document retrieval for finding the missing entity of the question. The main steps of this process are sub-question detection, document retrieval for the subquestion, and generation of …
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What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Donghyun Kwak, Jeon Dong Hyeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, Suk Hyun Ko, Seokhun Kim, Taeyong …
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Scaling Law for Recommendation Models: Towards General-Purpose User Representations
2023 · Proceedings of the AAAI Conference on Artificial Intelligence
Recent advancement of large-scale pretrained models such as BERT, GPT-3, CLIP, and Gopher, has shown astonishing achievements across various task domains. Unlike vision recognition and language models, studies on general-purpose user representation at scale still …
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Paraphrase Diversification Using Counterfactual Debiasing
2019 · Proceedings of the AAAI Conference on Artificial Intelligence
The problem of generating a set of diverse paraphrase sentences while (1) not compromising the original meaning of the original sentence, and (2) imposing diversity in various semantic aspects, such as a lexical or syntactic …