Zobrazeno 1 - 10
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pro vyhledávání: '"Jang, Yoonna"'
Autor:
Jang, Yoonna, Son, Suhyune, Lee, Jeongwoo, Son, Junyoung, Hur, Yuna, Lim, Jungwoo, Moon, Hyeonseok, Yang, Kisu, Lim, Heuiseok
Despite the striking advances in recent language generation performance, model-generated responses have suffered from the chronic problem of hallucinations that are either untrue or unfaithful to a given source. Especially in the task of knowledge gr
Externí odkaz:
http://arxiv.org/abs/2406.10809
Autor:
Yang, Kisu, Jang, Yoonna, Lee, Taewoo, Seong, Jinwoo, Lee, Hyungjin, Jang, Hwanseok, Lim, Heuiseok
This work presents KoBigBird-large, a large size of Korean BigBird that achieves state-of-the-art performance and allows long sequence processing for Korean language understanding. Without further pretraining, we only transform the architecture and e
Externí odkaz:
http://arxiv.org/abs/2309.10339
Autor:
Lim, Jungwoo, Kang, Myunghoon, Hur, Yuna, Jung, Seungwon, Kim, Jinsung, Jang, Yoonna, Lee, Dongyub, Ji, Hyesung, Shin, Donghoon, Kim, Seungryong, Lim, Heuiseok
To build a conversational agent that interacts fluently with humans, previous studies blend knowledge or personal profile into the pre-trained language model. However, the model that considers knowledge and persona at the same time is still limited,
Externí odkaz:
http://arxiv.org/abs/2301.02401
The focus of this work is to investigate unsupervised approaches to overcome quintessential challenges in designing task-oriented dialog schema: assigning intent labels to each dialog turn (intent clustering) and generating a set of intents based on
Externí odkaz:
http://arxiv.org/abs/2212.02021
Autor:
Son, Suhyune, Park, Chanjun, Lee, Jungseob, Shim, Midan, Lee, Chanhee, Jang, Yoonna, Seo, Jaehyung, Lim, Heuiseok
As pre-trained language models become more resource-demanding, the inequality between resource-rich languages such as English and resource-scarce languages is worsening. This can be attributed to the fact that the amount of available training data in
Externí odkaz:
http://arxiv.org/abs/2209.06422
Autor:
Jang, Yoonna, Lim, Jungwoo, Hur, Yuna, Oh, Dongsuk, Son, Suhyune, Lee, Yeonsoo, Shin, Donghoon, Kim, Seungryong, Lim, Heuiseok
Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to. However, existing conversational agents and datasets do not consider such comprehensive information, a
Externí odkaz:
http://arxiv.org/abs/2112.08619
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models. A persona-based dialogue syste
Externí odkaz:
http://arxiv.org/abs/2112.04126
Augmentative and alternative communication (AAC) is a practical means of communication for people with language disabilities. In this study, we propose PicTalky, which is an AI-based AAC system that helps children with language developmental disabili
Externí odkaz:
http://arxiv.org/abs/2109.12941
CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge. Most previous works have aimed to improve the performance with distributed representation without considering the process of pred
Externí odkaz:
http://arxiv.org/abs/2011.00766
Autor:
Moon, Hyeonseok, Park, Chanjun, Koo, Seonmin, Lee, Jungseob, Lee, Seungjun, Seo, Jaehyung, Eo, Sugyeong, Jang, Yoonna, Kim, Hyunjoong, Lee, Hyoung-gyu, Lim, Heuiseok
Publikováno v:
In Expert Systems With Applications 15 December 2023 233
