Zobrazeno 1 - 10
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pro vyhledávání: '"Pearl, A."'
The blue loop stage of intermediate mass stars has been called a "magnifying glass", where even seemingly small effects in prior stages of evolution, as well as assumptions about stellar composition, rotation, and convection, produce discernible chan
Externí odkaz:
http://arxiv.org/abs/2412.03652
Tropical cyclones (TCs) are highly dynamic natural disasters that travel vast distances and occupy a large spatial scale, leading to loss of life, economic strife, and destruction of infrastructure. The severe impact of TCs makes them crucial to moni
Externí odkaz:
http://arxiv.org/abs/2411.18317
We introduce Unimotion, the first unified multi-task human motion model capable of both flexible motion control and frame-level motion understanding. While existing works control avatar motion with global text conditioning, or with fine-grained per f
Externí odkaz:
http://arxiv.org/abs/2409.15904
Online vs Offline: A Comparative Study of First-Party and Third-Party Evaluations of Social Chatbots
Autor:
Svikhnushina, Ekaterina, Pu, Pearl
This paper explores the efficacy of online versus offline evaluation methods in assessing conversational chatbots, specifically comparing first-party direct interactions with third-party observational assessments. By extending a benchmarking dataset
Externí odkaz:
http://arxiv.org/abs/2409.07823
Hidden valley models naturally predict numerous long-lived particles, the distinctive signatures of which would be compelling evidence for a hidden valley scenario. As these are typically low energy particles, they pose a challenge in terms of passin
Externí odkaz:
http://arxiv.org/abs/2408.07756
We present a computational tool, TweedleDEE, for empirically modeling diffuse gamma-ray background emission in a 1 degree region of the sky, using publicly available gamma-ray data slightly off-axis from this region. This background model allows a us
Externí odkaz:
http://arxiv.org/abs/2408.04611
Autor:
Smith, Jennifer Pearl, Bailey, John I., III., Cuda, Aled, Zobrist, Nicholas, Mazin, Benjamin A.
Building large, cryogenic MKID arrays requires processing highly-multiplexed, wideband readout signals in real time; a task that has previously required large, heavy, and power-intensive custom electronics. In this work, we present the third-generati
Externí odkaz:
http://arxiv.org/abs/2406.09764
Autor:
Welivita, Anuradha, Pu, Pearl
With the emergence of large language models (LLMs), investigating if they can surpass humans in areas such as emotion recognition and empathetic responding has become a focal point of research. This paper presents a comprehensive study exploring the
Externí odkaz:
http://arxiv.org/abs/2406.05063
Autor:
La Torre, Valentina, Sajina, Anna, Goulding, Andy D., Marchesini, Danilo, Bezanson, Rachel, Pearl, Alan N., Sodré Jr, Laerte
The current and upcoming large data volume galaxy surveys require the use of machine learning techniques to maximize their scientific return. This study explores the use of Self-Organizing Maps (SOMs) to estimate galaxy parameters with a focus on han
Externí odkaz:
http://arxiv.org/abs/2403.18888
Autor:
Welivita, Anuradha, Pu, Pearl
This paper investigates the empathetic responding capabilities of ChatGPT, particularly its latest iteration, GPT-4, in comparison to human-generated responses to a wide range of emotional scenarios, both positive and negative. We employ a rigorous e
Externí odkaz:
http://arxiv.org/abs/2403.05572