Zobrazeno 1 - 10
of 9 475
pro vyhledávání: '"A. Arkin"'
This document is a replication of the original "Rank-N-Contrast" (arXiv:2210.01189v2) paper published in 2023. This evaluation is done for academic purposes. Deep regression models often fail to capture the continuous nature of sample orders, creatin
Externí odkaz:
http://arxiv.org/abs/2411.16298
Connected multi-agent robotic systems (MRS) are prone to deadlocks in an obstacle environment where the robots can get stuck away from their desired locations under a smooth low-level control policy. Without an external intervention, often in terms o
Externí odkaz:
http://arxiv.org/abs/2404.06413
Publikováno v:
EMNLP 2024 Main (The 2024 Conference on Empirical Methods on Natural Language Processing )
Prompt optimization aims to find the best prompt to a large language model (LLM) for a given task. LLMs have been successfully used to help find and improve prompt candidates for single-step tasks. However, realistic tasks for agents are multi-step a
Externí odkaz:
http://arxiv.org/abs/2402.08702
Autor:
Leo Gendelev, Jack Taylor, Douglas Myers-Turnbull, Steven Chen, Matthew N. McCarroll, Michelle R. Arkin, David Kokel, Michael J. Keiser
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Behavioral larval zebrafish screens leverage a high-throughput small molecule discovery format to find neuroactive molecules relevant to mammalian physiology. We screen a library of 650 central nervous system active compounds in high replica
Externí odkaz:
https://doaj.org/article/6e4a4b22ec8c46e2bccdf19be726c086
Autor:
Bradley W Biggs, Morgan N Price, Dexter Lai, Jasmine Escobedo, Yuridia Fortanel, Yolanda Y Huang, Kyoungmin Kim, Valentine V Trotter, Jennifer V Kuehl, Lauren M Lui, Romy Chakraborty, Adam M Deutschbauer, Adam P Arkin
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 11, Pp 1207-1229 (2024)
Abstract Our ability to predict, control, or design biological function is fundamentally limited by poorly annotated gene function. This can be particularly challenging in non-model systems. Accordingly, there is motivation for new high-throughput me
Externí odkaz:
https://doaj.org/article/be2f0052335c41e5b844bbca96e0a1aa
Autor:
AKBAR·arkin, CHEN Xiaotao
Publikováno v:
口腔疾病防治, Vol 32, Iss 10, Pp 814-820 (2024)
Exosomes (EXOs) are important mediators of intercellular communication that contain a variety of substances, including miRNA, mRNA, DNA, and protein molecules, which can act on target cells and have broad medical prospects as “cell-free therapy”.
Externí odkaz:
https://doaj.org/article/efa1c24c109547aebcfb6eb014b16730
Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
Publikováno v:
The 2024 International Conference on Robotics and Automation
A flurry of recent work has demonstrated that pre-trained large language models (LLMs) can be effective task planners for a variety of single-robot tasks. The planning performance of LLMs is significantly improved via prompting techniques, such as in
Externí odkaz:
http://arxiv.org/abs/2309.15943
Autor:
Mouloudakis, K., Kong, J., Sierant, A., Arkin, E., Ruiz, M. Hernández, Jiménez-Martínez, R., Mitchell, M. W.
We perform spin-noise spectroscopy on an unpolarized $^{87}\mathrm{Rb}$ vapor in the spin-exchange-relaxation-free (SERF) regime. We observe noise spectral distributions that deviate strongly from Lorentzian models that accurately describe lower-dens
Externí odkaz:
http://arxiv.org/abs/2307.16869
Publikováno v:
The 2024 International Conference on Robotics and Automation
For effective human-robot interaction, robots need to understand, plan, and execute complex, long-horizon tasks described by natural language. Recent advances in large language models (LLMs) have shown promise for translating natural language into ro
Externí odkaz:
http://arxiv.org/abs/2306.06531
In situations such as habitat construction, station inspection, or cooperative exploration, incorrect assumptions about the environment or task across the team could lead to mission failure. Thus it is important to resolve any ambiguity about the mis
Externí odkaz:
http://arxiv.org/abs/2304.05485