Zobrazeno 1 - 10
of 4 193
pro vyhledávání: '"Jaehun An"'
In this paper, we consider the rectangular random matrix $X=(x_{ij})\in \mathbb{R}^{N\times n}$ whose entries are iid with tail $\mathbb{P}(|x_{ij}|>t)\sim t^{-\alpha}$ for some $\alpha>0$. We consider the regime $N(n)/n\to \mathsf{a}>1$ as $n$ tends
Externí odkaz:
http://arxiv.org/abs/2409.01819
Most music widely consumed in Western Countries contains song lyrics, with U.S. samples reporting almost all of their song libraries contain lyrics. In parallel, social science theory suggests that personal values - the abstract goals that guide our
Externí odkaz:
http://arxiv.org/abs/2408.12694
Autor:
Lee, Yeonghoon, Sur, Yeahan, Kim, Sunghun, Cha, Jaehun, Hyun, Jounghoon, Lim, Chan-young, Hashimoto, Makoto, Lu, Donghui, Kim, Younsik, Huh, Soonsang, Kim, Changyoung, Ideta, Shinichiro, Tanaka, Kiyohisa, Kim, Kee Hoon, Kim, Yeongkwan
In most of charge density wave (CDW) systems of different material classes, ranging from traditional correlated systems in low-dimension to recent topological systems with Kagome lattice, superconductivity emerges when the system is driven toward the
Externí odkaz:
http://arxiv.org/abs/2408.07901
We present a principled approach to provide LLM-based evaluation with a rigorous guarantee of human agreement. We first propose that a reliable evaluation method should not uncritically rely on model preferences for pairwise evaluation, but rather as
Externí odkaz:
http://arxiv.org/abs/2407.18370
Video summarization aims to generate a concise representation of a video, capturing its essential content and key moments while reducing its overall length. Although several methods employ attention mechanisms to handle long-term dependencies, they o
Externí odkaz:
http://arxiv.org/abs/2405.11905
Autor:
Jung, Jaehun, Lu, Ximing, Jiang, Liwei, Brahman, Faeze, West, Peter, Koh, Pang Wei, Choi, Yejin
The current winning recipe for automatic summarization is using proprietary large-scale language models (LLMs) such as ChatGPT as is, or imitation learning from them as teacher models. While increasingly ubiquitous dependence on such large-scale lang
Externí odkaz:
http://arxiv.org/abs/2403.13780
The permanence of online content combined with the enhanced authorship identification techniques calls for stronger computational methods to protect the identity and privacy of online authorship when needed, e.g., blind reviews for scientific papers,
Externí odkaz:
http://arxiv.org/abs/2402.08761
Autor:
Cho, Woohyun, Kang, Yoon-Gu, Cha, Jaehun, Lee, Dong Hyun David, Kiem, Do Hoon, Oh, Jaewhan, Park, Jongho, Kim, Changyoung, Yang, Yongsoo, Kim, Yeong Kwan, Han, Myung Joon, Yang, Heejun
Topological quantum phases have been largely understood in weakly correlated systems, which have identified various quantum phenomena such as spin Hall effect, protected transport of helical fermions, and topological superconductivity. Robust ferroma
Externí odkaz:
http://arxiv.org/abs/2312.12889
While text style transfer has many applications across natural language processing, the core premise of transferring from a single source style is unrealistic in a real-world setting. In this work, we focus on arbitrary style transfer: rewriting a te
Externí odkaz:
http://arxiv.org/abs/2311.07167
The objective of this work is to extract target speaker's voice from a mixture of voices using visual cues. Existing works on audio-visual speech separation have demonstrated their performance with promising intelligibility, but maintaining naturalne
Externí odkaz:
http://arxiv.org/abs/2310.19581