Zobrazeno 1 - 10
of 231 683
pro vyhledávání: '"An, So-Yeon"'
Autor:
Kim, Minsun, Kim, SeonGyeom, Lee, Suyoun, Yoon, Yoosang, Myung, Junho, Yoo, Haneul, Lim, Hyungseung, Han, Jieun, Kim, Yoonsu, Ahn, So-Yeon, Kim, Juho, Oh, Alice, Hong, Hwajung, Lee, Tak Yeon
While ChatGPT has significantly impacted education by offering personalized resources for students, its integration into educational settings poses unprecedented risks, such as inaccuracies and biases in AI-generated content, plagiarism and over-reli
Externí odkaz:
http://arxiv.org/abs/2405.19691
Autor:
Agrawal, A., Alenkov, V. V., Aryal, P., Beyer, J., Bhandari, B., Boiko, R. S., Boonin, K., Buzanov, O., Byeon, C. R., Chanthima, N., Cheoun, M. K., Choe, J. S., Choi, Seonho, Choudhury, S., Chung, J. S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavrilyuk, Y. M., Gezhaev, A. M., Gileva, O., Grigorieva, V. D., Gurentsov, V. I., Ha, C., Ha, D. H., Ha, E. J., Hwang, D. H., Jeon, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, Ho-Jong, Kim, H. J., Kim, H. L., Kim, H. S., Kim, M. B., Kim, S. C., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuzminov, V. V., Kwon, D. H., Lee, C. H., Lee, DongYeup, Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, Y. C., Leonard, D. S., Lim, H. S., Mailyan, B., Makarov, E. P., Nyanda, P., Oh, Y., Olsen, S. L., Panasenko, S. I., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S., Ratkevich, S. S., Rooh, G., Sari, M. B., Seo, J., Seo, K. M., Sharma, B., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J., Sokur, N. V., Son, J. K., Song, J. W., Srisittipokakun, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yeon, H. J., Yoon, Y. S., Yue, Q.
AMoRE searches for the signature of neutrinoless double beta decay of $^{100}$Mo with a 100 kg sample of enriched $^{100}$Mo. Scintillating molybdate crystals coupled with a metallic magnetic calorimeter operate at milli-Kelvin temperatures to measur
Externí odkaz:
http://arxiv.org/abs/2407.05618
How can we utilize state-of-the-art NLP tools to better understand legislative deliberation? Committee hearings are a core feature of any legislature, and they create an institutional setting to promote the exchange of arguments and reasoning that di
Externí odkaz:
http://arxiv.org/abs/2407.06149
Autor:
Jung, Chani, Kim, Dongkwan, Jin, Jiho, Kim, Jiseon, Seonwoo, Yeon, Choi, Yejin, Oh, Alice, Kim, Hyunwoo
While humans naturally develop theory of mind (ToM), the capability to understand other people's mental states and beliefs, state-of-the-art large language models (LLMs) underperform on simple ToM benchmarks. We posit that we can extend our understan
Externí odkaz:
http://arxiv.org/abs/2407.06004
Autor:
Niwa, Ryotaro, Lee, Jong Yeon
Stabilizer codes lie at the heart of modern quantum-error-correcting codes (QECC). Of particular importance is a class called Calderbank-Shor-Steane (CSS) codes, which includes many important examples such as toric codes, color codes, and fractons. R
Externí odkaz:
http://arxiv.org/abs/2407.02564
Tools have become a mainstay of LLMs, allowing them to retrieve knowledge not in their weights, to perform tasks on the web, and even to control robots. However, most ontologies and surveys of tool-use have assumed the core challenge for LLMs is choo
Externí odkaz:
http://arxiv.org/abs/2406.19228
Autor:
Song, Junho, Jang, Jong-Hwan, Lee, Byeong Tak, Hong, DongGyun, Kwon, Joon-myoung, Jo, Yong-Yeon
Foundation models, enhanced by self-supervised learning (SSL) techniques, represent a cutting-edge frontier in biomedical signal analysis, particularly for electrocardiograms (ECGs), crucial for cardiac health monitoring and diagnosis. This study con
Externí odkaz:
http://arxiv.org/abs/2407.07110
We developed DyGETViz, a novel framework for effectively visualizing dynamic graphs (DGs) that are ubiquitous across diverse real-world systems. This framework leverages recent advancements in discrete-time dynamic graph (DTDG) models to adeptly hand
Externí odkaz:
http://arxiv.org/abs/2406.17963
Adversarial benchmarks validate model abilities by providing samples that fool models but not humans. However, despite the proliferation of datasets that claim to be adversarial, there does not exist an established metric to evaluate how adversarial
Externí odkaz:
http://arxiv.org/abs/2406.16342
Autor:
Sung-Bin, Kim, Chae-Yeon, Lee, Son, Gihun, Hyun-Bin, Oh, Ju, Janghoon, Nam, Suekyeong, Oh, Tae-Hyun
Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack of datasets
Externí odkaz:
http://arxiv.org/abs/2406.14272