Zobrazeno 1 - 10
of 14 015
pro vyhledávání: '"A. Farhadi"'
The ancient art of origami, traditionally used to transform simple sheets into intricate objects, also holds potential for diverse engineering applications, such as shape morphing and robotics. In this study, we demonstrate that one of the most basic
Externí odkaz:
http://arxiv.org/abs/2410.20818
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
Structural understanding of complex visual objects is an important unsolved component of artificial intelligence. To study this, we develop a new technique for the recently proposed Break-and-Make problem in LTRON where an agent must learn to build a
Externí odkaz:
http://arxiv.org/abs/2410.01111
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, Dumas, Jen, 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 multimodal models remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed models into open ones. As a result, the
Externí odkaz:
http://arxiv.org/abs/2409.17146
Autor:
Hu, Jiaheng, Hendrix, Rose, Farhadi, Ali, Kembhavi, Aniruddha, Martin-Martin, Roberto, Stone, Peter, Zeng, Kuo-Hao, Ehsani, Kiana
In recent years, the Robotics field has initiated several efforts toward building generalist robot policies through large-scale multi-task Behavior Cloning. However, direct deployments of these policies have led to unsatisfactory performance, where t
Externí odkaz:
http://arxiv.org/abs/2409.16578
Autor:
Muennighoff, Niklas, Soldaini, Luca, Groeneveld, Dirk, Lo, Kyle, Morrison, Jacob, Min, Sewon, Shi, Weijia, Walsh, Pete, Tafjord, Oyvind, Lambert, Nathan, Gu, Yuling, Arora, Shane, Bhagia, Akshita, Schwenk, Dustin, Wadden, David, Wettig, Alexander, Hui, Binyuan, Dettmers, Tim, Kiela, Douwe, Farhadi, Ali, Smith, Noah A., Koh, Pang Wei, Singh, Amanpreet, Hajishirzi, Hannaneh
We introduce OLMoE, a fully open, state-of-the-art language model leveraging sparse Mixture-of-Experts (MoE). OLMoE-1B-7B has 7 billion (B) parameters but uses only 1B per input token. We pretrain it on 5 trillion tokens and further adapt it to creat
Externí odkaz:
http://arxiv.org/abs/2409.02060
Autor:
Satish, Manthan Chelenahalli, Lu, Duo, Chakravarthi, Bharatesh, Farhadi, Mohammad, Yang, Yezhou
Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges for autonomous vehicles. In particular, the encounter of a vehicle with a dilemma zone (DZ) at a roundabout intersection is a pivotal concern. This paper
Externí odkaz:
http://arxiv.org/abs/2409.00622
Autor:
Farhadi, Amirfarhad, Mahalegi, Homayoun Safarpour Motealegh, Firouzabad, Abolfazl Pourrezaeian, Zamanifar, Azadeh, Sorouri, Majid
The supply chain is a critical segment of the product manufacturing cycle, continuously influenced by risky, uncertain, and undesirable events. Optimizing flexibility in the supply chain presents a complex, multi-objective, and nonlinear programming
Externí odkaz:
http://arxiv.org/abs/2408.17161
Autor:
Nia, Masoumeh Farhadi
With the ongoing advancement of video technology and the emergence of new video platforms, suppliers of video contents are striving to ensure that the video quality meets the desire of consumers. Accessing a limited amount of channel bandwidth, they
Externí odkaz:
http://arxiv.org/abs/2408.09044
Autor:
Zhang, Jieyu, Huang, Weikai, Ma, Zixian, Michel, Oscar, He, Dong, Gupta, Tanmay, Ma, Wei-Chiu, Farhadi, Ali, Kembhavi, Aniruddha, Krishna, Ranjay
Benchmarks for large multimodal language models (MLMs) now serve to simultaneously assess the general capabilities of models instead of evaluating for a specific capability. As a result, when a developer wants to identify which models to use for thei
Externí odkaz:
http://arxiv.org/abs/2406.11775