Zobrazeno 1 - 10
of 914
pro vyhledávání: '"Hahn, Christopher"'
Autor:
Chung, Seung Whan, Choi, Youngsoo, Roy, Pratanu, Roy, Thomas, Lin, Tiras Y., Nguyen, Du T., Hahn, Christopher, Duoss, Eric B., Baker, Sarah E.
Computational physics simulation can be a powerful tool to accelerate industry deployment of new scientific technologies. However, it must address the challenge of computationally tractable, moderately accurate prediction at large industry scales, an
Externí odkaz:
http://arxiv.org/abs/2410.21583
Autor:
Chung, Seung Whan, Choi, Youngsoo, Roy, Pratanu, Roy, Thomas, Lin, Tiras Y., Nguyen, Du T., Hahn, Christopher, Duoss, Eric B., Baker, Sarah E.
Scaling up new scientific technologies from laboratory to industry often involves demonstrating performance on a larger scale. Computer simulations can accelerate design and predictions in the deployment process, though traditional numerical methods
Externí odkaz:
http://arxiv.org/abs/2410.21534
In the general pattern formation (GPF) problem, a swarm of simple autonomous, disoriented robots must form a given pattern. The robots' simplicity imply a strong limitation: When the initial configuration is rotationally symmetric, only patterns with
Externí odkaz:
http://arxiv.org/abs/2409.19277
Autor:
Burin, Jürgen, Hahn, Christopher, Gaggl, Philipp, Gsponer, Andreas, Waid, Simon, Bergauer, Thomas
To increase the scientific output of particle physics experiments, upgrades are underway at all major accelerator facilities to significantly improve the luminosity. Consequently, the solid-state detectors used in the experiments will exhibit more se
Externí odkaz:
http://arxiv.org/abs/2407.16710
In the classical Approximate Majority problem with two opinions there are agents with Opinion 1 and with Opinion 2. The goal is to reach consensus and to agree on the majority opinion if the bias is sufficiently large. It is well known that the probl
Externí odkaz:
http://arxiv.org/abs/2406.07335
Autor:
Alexandrovsky, Dmitry, Gerling, Kathrin, Opp, Merlin Steven, Hahn, Christopher Benjamin, Birk, Max V., Alsheail, Meshaiel
The games research community has developed substantial knowledge on designing engaging experiences that draw players in. Surprisingly, less is known about player \textit{dis}engagement, with existing work predominantly addressing disengagement from t
Externí odkaz:
http://arxiv.org/abs/2406.00189
Autor:
Lalwani, Abhinav, Chopra, Lovish, Hahn, Christopher, Trippel, Caroline, Jin, Zhijing, Sachan, Mrinmaya
Logical fallacies are common errors in reasoning that undermine the logic of an argument. Automatically detecting logical fallacies has important applications in tracking misinformation and validating claims. In this paper, we design a process to rel
Externí odkaz:
http://arxiv.org/abs/2405.02318
In the arbitrary pattern formation problem, $n$ autonomous, mobile robots must form an arbitrary pattern $P \subseteq \mathbb{R}^2$. The (deterministic) robots are typically assumed to be indistinguishable, disoriented, and unable to communicate. An
Externí odkaz:
http://arxiv.org/abs/2404.02771
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning
Autor:
Niklaus, Joel, Zheng, Lucia, McCarthy, Arya D., Hahn, Christopher, Rosen, Brian M., Henderson, Peter, Ho, Daniel E., Honke, Garrett, Liang, Percy, Manning, Christopher
Instruction tuning is an important step in making language models useful for direct user interaction. However, many legal tasks remain out of reach for most open LLMs and there do not yet exist any large scale instruction datasets for the domain. Thi
Externí odkaz:
http://arxiv.org/abs/2404.02127
We introduce NeuroSynt, a neuro-symbolic portfolio solver framework for reactive synthesis. At the core of the solver lies a seamless integration of neural and symbolic approaches to solving the reactive synthesis problem. To ensure soundness, the ne
Externí odkaz:
http://arxiv.org/abs/2401.12131