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pro vyhledávání: '"Kim, So‐Young"'
This paper introduces mhGPT, a lightweight generative pre-trained transformer trained on mental health-related social media and PubMed articles. Fine-tuned for specific mental health tasks, mhGPT was evaluated under limited hardware constraints and c
Externí odkaz:
http://arxiv.org/abs/2408.08261
Autor:
Moon, Seungjae, Kim, Jung-Hoon, Kim, Junsoo, Hong, Seongmin, Cha, Junseo, Kim, Minsu, Lim, Sukbin, Choi, Gyubin, Seo, Dongjin, Kim, Jongho, Lee, Hunjong, Park, Hyunjun, Ko, Ryeowook, Choi, Soongyu, Park, Jongse, Lee, Jinwon, Kim, Joo-Young
The explosive arrival of OpenAI's ChatGPT has fueled the globalization of large language model (LLM), which consists of billions of pretrained parameters that embodies the aspects of syntax and semantics. HyperAccel introduces latency processing unit
Externí odkaz:
http://arxiv.org/abs/2408.07326
Autor:
Kim, Dong Young, Kim, Huy Kang
The "Battlefield" online game is well-known for its large-scale multiplayer capabilities and unique gaming features, including various vehicle controls. However, these features make the game a major target for cheating, significantly detracting from
Externí odkaz:
http://arxiv.org/abs/2408.04506
Krylov complexity has recently emerged as a new paradigm to characterize quantum chaos in many-body systems. However, which features of Krylov complexity are prerogative of quantum chaotic systems and how they relate to more standard probes, such as
Externí odkaz:
http://arxiv.org/abs/2407.17054
Autor:
Kim, Hyunwoo, Choi, Yoonseo, Yang, Taehyun, Lee, Honggu, Park, Chaneon, Lee, Yongju, Kim, Jin Young, Kim, Juho
With large language models (LLMs), conversational search engines shift how users retrieve information from the web by enabling natural conversations to express their search intents over multiple turns. Users' natural conversation embodies rich but im
Externí odkaz:
http://arxiv.org/abs/2407.13166
It has become common practice now to use random initialization schemes, rather than the pre-trained embeddings, when training transformer based models from scratch. Indeed, we find that pre-trained word embeddings from GloVe, and some sub-word embedd
Externí odkaz:
http://arxiv.org/abs/2407.12514
Class-Incremental Semantic Segmentation(CISS) aims to learn new classes without forgetting the old ones, using only the labels of the new classes. To achieve this, two popular strategies are employed: 1) pseudo-labeling and knowledge distillation to
Externí odkaz:
http://arxiv.org/abs/2407.11859
Autor:
Hwang, Seo-Bin, Kim, Han-Young, Heo, Chae-Yeon, Jung, Hie-Yong, Jung, Sung-Ju, Cho, Yeong-Jun
The flatfish is a major farmed species consumed globally in large quantities. However, due to the densely populated farming environment, flatfish are susceptible to injuries and diseases, making early disease detection crucial. Traditionally, disease
Externí odkaz:
http://arxiv.org/abs/2407.11348
Interacting individuals in complex systems often give rise to coherent motion exhibiting coordinated global structures. Such phenomena are ubiquitously observed in nature, from cell migration, bacterial swarms, animal and insect groups, and even huma
Externí odkaz:
http://arxiv.org/abs/2407.11330
We consider functional linear regression models where functional outcomes are associated with scalar predictors by coefficient functions with shape constraints, such as monotonicity and convexity, that apply to sub-domains of interest. To validate th
Externí odkaz:
http://arxiv.org/abs/2407.00859