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pro vyhledávání: '"Kim, TaeHee"'
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 often encounter incomplete scenarios when users provide partial informatio
Externí odkaz:
http://arxiv.org/abs/2406.12307
Autor:
Oddi, Virginia, Zhu, Chenglian, Becker, Michael A., Sahin, Yesim, Dirin, Dmitry N., Kim, Taehee, Mahrt, Rainer F., Even, Jacky, Rainò, Gabriele, Kovalenko, Maksym V., Stöferle, Thilo
Lead halide perovskite quantum dots (QDs), the latest generation of colloidal QD family, exhibit outstanding optical properties which are now exploited as both classical and quantum light sources. Most of their rather exceptional properties are relat
Externí odkaz:
http://arxiv.org/abs/2404.02130
Difference visual question answering (diff-VQA) is a challenging task that requires answering complex questions based on differences between a pair of images. This task is particularly important in reading chest X-ray images because radiologists ofte
Externí odkaz:
http://arxiv.org/abs/2402.08966
Autor:
Cha, Jae Choon, Kim, Taehee
We show that for a winding number zero satellite operator $P$ on the knot concordance group, if the axis of $P$ has nontrivial self-pairing under the Blanchfield form of the pattern, then the image of the iteration $P^n$ generates an infinite rank su
Externí odkaz:
http://arxiv.org/abs/2402.04629
Visual question answering (VQA) is a task where an image is given, and a series of questions are asked about the image. To build an efficient VQA algorithm, a large amount of QA data is required which is very expensive. Generating synthetic QA pairs
Externí odkaz:
http://arxiv.org/abs/2401.06400
Cone beam computed tomography (CBCT) is an emerging medical imaging technique to visualize the internal anatomical structures of patients. During a CBCT scan, several projection images of different angles or views are collectively utilized to reconst
Externí odkaz:
http://arxiv.org/abs/2312.01689
Autor:
Kim, Taehee, Kwon, Hyuk-Yoon
Advanced metering infrastructure (AMI) has been widely used as an intelligent energy consumption measurement system. Electric power was the representative energy source that can be collected by AMI; most existing studies to detect abnormal energy con
Externí odkaz:
http://arxiv.org/abs/2305.02323
Incorporating personal preference is crucial in advanced machine translation tasks. Despite the recent advancement of machine translation, it remains a demanding task to properly reflect personal style. In this paper, we introduce a personalized auto
Externí odkaz:
http://arxiv.org/abs/2209.10139
Semantically meaningful sentence embeddings are important for numerous tasks in natural language processing. To obtain such embeddings, recent studies explored the idea of utilizing synthetically generated data from pretrained language models (PLMs)
Externí odkaz:
http://arxiv.org/abs/2208.13376
Autor:
Kim, Do Kyun, Huh, Hyuk, Kim, Yunmi, Kim, Taehee, Kim, Yeong Hoon, Choi, Byung Hyun, Lee, Hyun Jeong, Kang, Mi Seon, Kim, Seo Rin, Lee, Dong Won, Lee, Soo Bong, Kim, Il Young
Publikováno v:
In Transplantation Proceedings October 2024 56(8):1752-1756
