Zobrazeno 1 - 10
of 8 937
pro vyhledávání: '"P. Pierson"'
Autor:
Fintzi, Nicolas, Pierson, Jean-Lou
This article provides a derivation of the averaged equations governing the motion of dispersed two-phase flows with interfacial transport. We begin by revisiting the two-fluid formulation, as well as the distributional form of the interfacial transpo
Externí odkaz:
http://arxiv.org/abs/2410.10752
Autor:
Gera, Nora, Pierson, Emma
Tests for racial bias commonly assess whether two people of different races are treated differently. A fundamental challenge is that, because two people may differ in many ways, factors besides race might explain differences in treatment. Here, we pr
Externí odkaz:
http://arxiv.org/abs/2409.11269
This paper considers how heterogeneous multi-agent teams can leverage their different capabilities to mutually improve individual agent performance. We present Capability-Augmenting Tasks (CATs), which encode how agents can augment their capabilities
Externí odkaz:
http://arxiv.org/abs/2409.09285
Autor:
Chang, Serina, Chaszczewicz, Alicja, Wang, Emma, Josifovska, Maya, Pierson, Emma, Leskovec, Jure
Generating social networks is essential for many applications, such as epidemic modeling and social simulations. Prior approaches either involve deep learning models, which require many observed networks for training, or stylized models, which are li
Externí odkaz:
http://arxiv.org/abs/2408.16629
Autor:
Pierson, Laura
The chromatic symmetric $X_G$ function is a symmetric function generalization of the chromatic polynomial of a graph, introduced by Stanley (1995). $X_G$ is defined by assigning a variable to each color and taking the sum over all proper vertex color
Externí odkaz:
http://arxiv.org/abs/2408.01395
Autor:
Pierson, Laura
The chromatic symmetric function $X_G$ is a power series that encodes the proper colorings of a graph $G$ by assigning a variable to each color and a monomial to each coloring such that the power of a variable in a monomial is the number of times the
Externí odkaz:
http://arxiv.org/abs/2408.01396
Autor:
Pierson, Laura
As part of a program to develop $K$-theoretic analogues of combinatorially important polynomials, Monical, Pechenik, and Searles (2021) proved two expansion formulas $\overline{\mathfrak{A}}_a = \sum_b Q_b^a(\beta)\overline{\mathfrak{P}}_b$ and $\ove
Externí odkaz:
http://arxiv.org/abs/2408.01390
In this study, we analyze the various arrangements that droplets can form within dispersed buoyant emulsions, which we refer to as the study of microstructure. To this end, we have developed a novel algorithm that effectively prevents numerical coale
Externí odkaz:
http://arxiv.org/abs/2407.07463
Do LLMs align with human perceptions of safety? We study this question via annotation alignment, the extent to which LLMs and humans agree when annotating the safety of user-chatbot conversations. We leverage the recent DICES dataset (Aroyo et al., 2
Externí odkaz:
http://arxiv.org/abs/2406.06369
Autor:
Li, Shuyue Stella, Balachandran, Vidhisha, Feng, Shangbin, Ilgen, Jonathan, Pierson, Emma, Koh, Pang Wei, Tsvetkov, Yulia
In high-stakes domains like clinical reasoning, AI assistants powered by large language models (LLMs) are yet to be reliable and safe. We identify a key obstacle towards reliability: existing LLMs are trained to answer any question, even with incompl
Externí odkaz:
http://arxiv.org/abs/2406.00922