Zobrazeno 1 - 10
of 26 237
pro vyhledávání: '"Park, Jae In"'
Autor:
Kang, Mingu, Kim, Sunje, Qian, Yuting, Neves, Paul M., Ye, Linda, Jung, Junseo, Puntel, Denny, Mazzola, Federico, Fang, Shiang, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Fuji, Jun, Vobornik, Ivana, Park, Jae-Hoon, Checkelsky, Joseph G., Yang, Bohm-Jung, Comin, Riccardo
Publikováno v:
Nat. Phys. (2024)
Understanding the geometric properties of quantum states and their implications in fundamental physical phenomena is at the core of modern physics. The Quantum Geometric Tensor (QGT) is a central physical object in this regard, encoding complete info
Externí odkaz:
http://arxiv.org/abs/2412.17809
Autor:
Awadalla, Anas, Xue, Le, Shu, Manli, Yan, An, Wang, Jun, Purushwalkam, Senthil, Shen, Sheng, Lee, Hannah, Lo, Oscar, Park, Jae Sung, Guha, Etash, Savarese, Silvio, Schmidt, Ludwig, Choi, Yejin, Xiong, Caiming, Xu, Ran
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthetic dense image captions with web-scale alt-text to generate factually
Externí odkaz:
http://arxiv.org/abs/2411.07461
Autor:
Salehi, Mohammadreza, Park, Jae Sung, Yadav, Tanush, Kusupati, Aditya, Krishna, Ranjay, Choi, Yejin, Hajishirzi, Hannaneh, Farhadi, Ali
Publikováno v:
NeurIPS 2024 Track Datasets and Benchmarks
Our world is full of varied actions and moves across specialized domains that we, as humans, strive to identify and understand. Within any single domain, actions can often appear quite similar, making it challenging for deep models to distinguish the
Externí odkaz:
http://arxiv.org/abs/2410.05774
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced vision-language models (VLMs) remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed VLMs into open ones. As a r
Externí odkaz:
http://arxiv.org/abs/2409.17146
Autor:
Chandu, Khyathi Raghavi, Li, Linjie, Awadalla, Anas, Lu, Ximing, Park, Jae Sung, Hessel, Jack, Wang, Lijuan, Choi, Yejin
The ability to acknowledge the inevitable uncertainty in their knowledge and reasoning is a prerequisite for AI systems to be truly truthful and reliable. In this paper, we present a taxonomy of uncertainty specific to vision-language AI systems, dis
Externí odkaz:
http://arxiv.org/abs/2407.01942
Autor:
Heo, Seung-Phil, Won, Choongjae, Lee, Heemin, Kim, Hanbyul, Park, Eunyoung, Lee, Sung Yun, Hwang, Junha, Choi, Hyeongi, Park, Sang-Youn, Lee, Byungjune, Noh, Woo-Suk, Jang, Hoyoung, Park, Jae-Hoon, Shin, Dongbin, Song, Changyong
Crystals with unique ionic arrangements and strong electronic correlations serve as a fertile ground for the emergence of exotic phases, as evidenced by the coexistence of charge density wave (CDW) and superconductivity in vanadium Kagome metals, spe
Externí odkaz:
http://arxiv.org/abs/2406.06913
Autor:
Alevras, Dimitris, Metkar, Mihir, Yamamoto, Takahiro, Kumar, Vaibhaw, Friedhoff, Triet, Park, Jae-Eun, Takeori, Mitsuharu, LaDue, Mariana, Davis, Wade, Galda, Alexey
Recent advancements in quantum computing have opened new avenues for tackling long-standing complex combinatorial optimization problems that are intractable for classical computers. Predicting secondary structure of mRNA is one such notoriously diffi
Externí odkaz:
http://arxiv.org/abs/2405.20328
Autor:
Shen, Ethan, Fan, Alan, Pratt, Sarah M., Park, Jae Sung, Wallingford, Matthew, Kakade, Sham M., Holtzman, Ari, Krishna, Ranjay, Farhadi, Ali, Kusupati, Aditya
Many applications today provide users with multiple auto-complete drafts as they type, including GitHub's code completion, Gmail's smart compose, and Apple's messaging auto-suggestions. Under the hood, language models support this by running an autor
Externí odkaz:
http://arxiv.org/abs/2405.18400
Autor:
Fujii, Keisuke, Sano, Ryuichi, Nakano, Tomohide, Park, Jae-Sun, Lore, Jeremy, Shafer, Morgan, Biewer, Theodore
It has been theoretically predicted that the \ExB drift caused by the spontaneously generated potential in scrape-off-layers (SOLs) and divertors in tokamaks is of a similar size to the poloidal component of the parallel flow and turbulent flow, ther
Externí odkaz:
http://arxiv.org/abs/2405.18219
The emergence of various adapters, including Low-Rank Adaptation (LoRA) applied from the field of natural language processing, has allowed diffusion models to personalize image generation at a low cost. However, due to the various challenges includin
Externí odkaz:
http://arxiv.org/abs/2404.07554