Zobrazeno 1 - 10
of 99 283
pro vyhledávání: '"A. Cohn"'
Autor:
Merx, Raphael, Suominen, Hanna, Correia, Adérito José Guterres, Cohn, Trevor, Vylomova, Ekaterina
The impact of machine translation (MT) on low-resource languages remains poorly understood. In particular, observational studies of actual usage patterns are scarce. Such studies could provide valuable insights into user needs and behaviours, complem
Externí odkaz:
http://arxiv.org/abs/2411.12262
Autor:
Cohn, Henry, Li, Anqi
We prove that the kissing numbers in 17, 18, 19, 20, and 21 dimensions are at least 5730, 7654, 11692, 19448, and 29768, respectively. The previous records were set by Leech in 1967, and we improve on them by 384, 256, 1024, 2048, and 2048. Unlike th
Externí odkaz:
http://arxiv.org/abs/2411.04916
The Cohn-Umans (FOCS '03) group-theoretic framework for matrix multiplication produces fast matrix multiplication algorithms from three subsets of a finite group $G$ satisfying a simple combinatorial condition (the Triple Product Property). The compl
Externí odkaz:
http://arxiv.org/abs/2410.14905
Autor:
Werner, Peter, Cohn, Thomas, Jiang, Rebecca H., Seyde, Tim, Simchowitz, Max, Tedrake, Russ, Rus, Daniela
We propose two novel algorithms for constructing convex collision-free polytopes in robot configuration space. Finding these polytopes enables the application of stronger motion-planning frameworks such as trajectory optimization with Graphs of Conve
Externí odkaz:
http://arxiv.org/abs/2410.12649
Large language models (LLMs) are stochastic, and not all models give deterministic answers, even when setting temperature to zero with a fixed random seed. However, few benchmark studies attempt to quantify uncertainty, partly due to the time and cos
Externí odkaz:
http://arxiv.org/abs/2410.03492
While Vision-Language Models (VLMs) are increasingly used to generate reward signals for training embodied agents to follow instructions, our research reveals that agents guided by VLM rewards often underperform compared to those employing only intri
Externí odkaz:
http://arxiv.org/abs/2409.15922
Large Language Models (LLMs) have shown promise in solving natural language-described planning tasks, but their direct use often leads to inconsistent reasoning and hallucination. While hybrid LLM-symbolic planning pipelines have emerged as a more ro
Externí odkaz:
http://arxiv.org/abs/2409.15915
Multilingual large language models (LLMs) are great translators, but this is largely limited to high-resource languages. For many LLMs, translating in and out of low-resource languages remains a challenging task. To maximize data efficiency in this l
Externí odkaz:
http://arxiv.org/abs/2409.13949
Autor:
Pudelko, Wojciech R., Liu, Huanlong, Petocchi, Francesco, Li, Hang, Guedes, Eduardo Bonini, Küspert, Julia, von Arx, Karin, Wang, Qisi, Wagner, Ron Cohn, Polley, Craig M., Leandersson, Mats, Osiecki, Jacek, Thiagarajan, Balasubramanian, Radović, Milan, Werner, Philipp, Schilling, Andreas, Chang, Johan, Plumb, Nicholas C.
Layered transition metal dichalcogenides (TMDs) stabilize in multiple structural forms with profoundly distinct and exotic electronic phases. Interfacing different layer types is a promising route to manipulate TMDs' properties, not only as a means t
Externí odkaz:
http://arxiv.org/abs/2409.13384
Autor:
Cohn, Jonathan H., Curliss, Maeve, Walsh, Jonelle L., Kabasares, Kyle M., Boizelle, Benjamin D., Barth, Aaron J., Gebhardt, Karl, Gültekin, Kayhan, Buote, David A., Darling, Jeremy, Baker, Andrew J., Ho, Luis C.
We present 0$.\!\!^{\prime\prime}{22}$-resolution CO(2$-$1) observations of the circumnuclear gas disk in the local compact galaxy NGC 384 with the Atacama Large Millimeter/submillimeter Array (ALMA). While the majority of the disk displays regular r
Externí odkaz:
http://arxiv.org/abs/2409.08812