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of 25
pro vyhledávání: '"Do, Jaeyoung"'
Autor:
Jung, Kyudan, Hyeon, Sieun, Kwon, Jeong Youn, Kim, Nam-Joon, Ryu, Hyun Gon, Lee, Hyuk-Jae, Do, Jaeyoung
Improving the readability of mathematical expressions in text-based document such as subtitle of mathematical video, is an significant task. To achieve this, mathematical expressions should be convert to compiled formulas. For instance, the spoken ex
Externí odkaz:
http://arxiv.org/abs/2408.07081
Pre-trained large-scale language models (LLMs) excel at producing coherent articles, yet their outputs may be untruthful, toxic, or fail to align with user expectations. Current approaches focus on using reinforcement learning with human feedback (RL
Externí odkaz:
http://arxiv.org/abs/2406.02756
Large-scale conversational systems typically rely on a skill-routing component to route a user request to an appropriate skill and interpretation to serve the request. In such system, the agent is responsible for serving thousands of skills and inter
Externí odkaz:
http://arxiv.org/abs/2306.04823
Off-Policy reinforcement learning has been a driving force for the state-of-the-art conversational AIs leading to more natural humanagent interactions and improving the user satisfaction for goal-oriented agents. However, in large-scale commercial se
Externí odkaz:
http://arxiv.org/abs/2305.10528
Publikováno v:
In Proc. 31st ACM International Conference on Information and Knowledge Management (CIKM), Atlanta, Georgia, Oct. 2022
Graph neural networks (GNNs) have achieved remarkable success in recommender systems by representing users and items based on their historical interactions. However, little attention was paid to GNN's vulnerability to exposure bias: users are exposed
Externí odkaz:
http://arxiv.org/abs/2208.08847
Publikováno v:
IEEE Transactions on Computers
K-nearest neighbor search is one of the fundamental tasks in various applications and the hierarchical navigable small world (HNSW) has recently drawn attention in large-scale cloud services, as it easily scales up the database while offering fast se
Externí odkaz:
http://arxiv.org/abs/2207.05241
Publikováno v:
DAMON 2020
Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory. This uniq
Externí odkaz:
http://arxiv.org/abs/2005.07658
Autor:
Ding, Jialin, Minhas, Umar Farooq, Yu, Jia, Wang, Chi, Do, Jaeyoung, Li, Yinan, Zhang, Hantian, Chandramouli, Badrish, Gehrke, Johannes, Kossmann, Donald, Lomet, David, Kraska, Tim
Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the position of a key in a dataset. Indexes can, thus, be learned. The ori
Externí odkaz:
http://arxiv.org/abs/1905.08898
Akademický článek
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Akademický článek
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