Impact of Composition Ratio on the Expansion Behavior of Polyurethane Grout

Autor: Xiaolong Li, Cen Peng, Yanna Ao, Meimei Hao, Yanhui Zhong, Bei Zhang

Publikováno v: Materials, Vol 17, Iss 8, p 1835 (2024)

Different formulations of foaming polyurethane grout offer controlled expansion rates. This is crucial for precision in filling voids without exerting excessive pressure on surrounding structures, which could potentially cause damage. This study focu

Externí odkaz: https://doaj.org/article/0615aefa58d94da79f97ac6f9418301e

Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment

Autor: Yang, Tong, Mei, Jincheng, Dai, Hanjun, Wen, Zixin, Cen, Shicong, Schuurmans, Dale, Chi, Yuejie, Dai, Bo

Recent advances in aligning large language models with human preferences have corroborated the growing importance of best-of-N distillation (BOND). However, the iterative BOND algorithm is prohibitively expensive in practice due to the sample and com

Externí odkaz: http://arxiv.org/abs/2410.20727

Analyzing Nobel Prize Literature with Large Language Models

Autor: Zhenyuan, Yang, Zhengliang, Liu, Jing, Zhang, Cen, Lu, Jiaxin, Tai, Tianyang, Zhong, Yiwei, Li, Siyan, Zhao, Teng, Yao, Qing, Liu, Jinlin, Yang, Qixin, Liu, Zhaowei, Li, Kexin, Wang, Longjun, Ma, Dajiang, Zhu, Yudan, Ren, Bao, Ge, Wei, Zhang, Ning, Qiang, Tuo, Zhang, Tianming, Liu

This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compared directly to those produced by graduate-level human participants. B

Externí odkaz: http://arxiv.org/abs/2410.18142

Movie Gen: A Cast of Media Foundation Models

Autor: Polyak, Adam, Zohar, Amit, Brown, Andrew, Tjandra, Andros, Sinha, Animesh, Lee, Ann, Vyas, Apoorv, Shi, Bowen, Ma, Chih-Yao, Chuang, Ching-Yao, Yan, David, Choudhary, Dhruv, Wang, Dingkang, Sethi, Geet, Pang, Guan, Ma, Haoyu, Misra, Ishan, Hou, Ji, Wang, Jialiang, Jagadeesh, Kiran, Li, Kunpeng, Zhang, Luxin, Singh, Mannat, Williamson, Mary, Le, Matt, Yu, Matthew, Singh, Mitesh Kumar, Zhang, Peizhao, Vajda, Peter, Duval, Quentin, Girdhar, Rohit, Sumbaly, Roshan, Rambhatla, Sai Saketh, Tsai, Sam, Azadi, Samaneh, Datta, Samyak, Chen, Sanyuan, Bell, Sean, Ramaswamy, Sharadh, Sheynin, Shelly, Bhattacharya, Siddharth, Motwani, Simran, Xu, Tao, Li, Tianhe, Hou, Tingbo, Hsu, Wei-Ning, Yin, Xi, Dai, Xiaoliang, Taigman, Yaniv, Luo, Yaqiao, Liu, Yen-Cheng, Wu, Yi-Chiao, Zhao, Yue, Kirstain, Yuval, He, Zecheng, He, Zijian, Pumarola, Albert, Thabet, Ali, Sanakoyeu, Artsiom, Mallya, Arun, Guo, Baishan, Araya, Boris, Kerr, Breena, Wood, Carleigh, Liu, Ce, Peng, Cen, Vengertsev, Dimitry, Schonfeld, Edgar, Blanchard, Elliot, Juefei-Xu, Felix, Nord, Fraylie, Liang, Jeff, Hoffman, John, Kohler, Jonas, Fire, Kaolin, Sivakumar, Karthik, Chen, Lawrence, Yu, Licheng, Gao, Luya, Georgopoulos, Markos, Moritz, Rashel, Sampson, Sara K., Li, Shikai, Parmeggiani, Simone, Fine, Steve, Fowler, Tara, Petrovic, Vladan, Du, Yuming

We present Movie Gen, a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. We also show additional capabilities such as precise instruction-based video editing and generation of

Externí odkaz: http://arxiv.org/abs/2410.13720

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing

Autor: Cen, Sarah H., Alur, Rohan

Artificial intelligence (AI) is increasingly intervening in our lives, raising widespread concern about its unintended and undeclared side effects. These developments have brought attention to the problem of AI auditing: the systematic evaluation and

Externí odkaz: http://arxiv.org/abs/2410.04772