Zobrazeno 1 - 10
of 56 681
pro vyhledávání: '"As, Asher"'
The ability to control chemical reactions by coupling organic molecules to confined light in a cavity has recently attracted much attention. While most previous studies have focused on single-mode photonic or plasmonic cavities, here we investigate t
Externí odkaz:
http://arxiv.org/abs/2412.10123
Autor:
Grytsenko, Ivan, van Haagen, Sander, Rybalko, Oleksiy, Jennings, Asher, Mohan, Rajesh, Tian, Yiran, Kawakami, Erika
We developed a tunnel diode oscillator and characterized its performance, highlighting its potential applications in the quantum state readout of electrons insemiconductors and electrons on liquid helium. This cryogenic microwave source demonstrates
Externí odkaz:
http://arxiv.org/abs/2412.09811
Autor:
Berlin, Asher, Kahn, Yonatan
The search for dark matter and physics beyond the Standard Model has grown to encompass a highly interdisciplinary approach. In this review, we survey recent searches for light, weakly-coupled particles - axions and dark photons - over the past decad
Externí odkaz:
http://arxiv.org/abs/2412.08704
Spatial patterns are widely observed in numerous nonequilibrium natural systems, often undergoing complex transitions and bifurcations, thereby exhibiting significant importance in many physical and biological systems such as embryonic development, e
Externí odkaz:
http://arxiv.org/abs/2412.03978
Millicharged particles are generic in theories of dark sectors. A cosmic or local abundance of them may be produced by the early universe, stellar environments, or the decay or annihilation of dark matter/dark energy. Furthermore, if such particles a
Externí odkaz:
http://arxiv.org/abs/2412.03643
In-context learning (ICL) has emerged as a powerful paradigm for easily adapting Large Language Models (LLMs) to various tasks. However, our understanding of how ICL works remains limited. We explore a simple model of ICL in a controlled setup with s
Externí odkaz:
http://arxiv.org/abs/2411.11465
Autor:
Naim, Omar, Asher, Nicholas
Publikováno v:
Proceedings of ECAI 2024, Frontiers in Artificial Intelligence and Applications, pp. 1035-1042
This paper explores the much discussed, possible explanatory link between attention weights (AW) in transformer models and predicted output. Contrary to intuition and early research on attention, more recent prior research has provided formal argumen
Externí odkaz:
http://arxiv.org/abs/2410.18541
Autor:
Hossain, Jumman, Faridee, Abu-Zaher, Asher, Derrik, Freeman, Jade, Trout, Theron, Gregory, Timothy, Roy, Nirmalya
Autonomous navigation in unstructured outdoor environments is inherently challenging due to the presence of asymmetric traversal costs, such as varying energy expenditures for uphill versus downhill movement. Traditional reinforcement learning method
Externí odkaz:
http://arxiv.org/abs/2410.16666
Recent work has shown that state space models such as Mamba are significantly worse than Transformers on recall-based tasks due to the fact that their state size is constant with respect to their input sequence length. But in practice, state space mo
Externí odkaz:
http://arxiv.org/abs/2410.11135
Autor:
Chaturvedi, Akshay, Asher, Nicholas
In this paper, we study whether transformer-based language models can extract predicate argument structure from simple sentences. We firstly show that language models sometimes confuse which predicates apply to which objects. To mitigate this, we exp
Externí odkaz:
http://arxiv.org/abs/2410.03203