Tootfinder

Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process
Lorenzo Bazzanini, Lisa Ferro, Cristiano Guidorzi, Giuseppe Angora, Lorenzo Amati, Massimo Brescia, Mattia Bulla, Filippo Frontera, Romain Maccary, Manuele Maistrello, Piero Rosati, Anastasia Tsvetkova
https://arxiv.org/abs/2403.18754<…

Long gamma-ray burst light curves as the result of a common stochastic pulse-avalanche process
Context. The complexity and variety exhibited by the light curves of long gamma-ray bursts (GRBs) enclose a wealth of information that still awaits being fully deciphered. Despite the tremendous advance in the knowledge of the energetics, structure, and composition of the relativistic jet that results from the core collapse of the progenitor star, the nature of the inner engine, how it powers the relativistic outflow, and the dissipation mechanisms remain open issues. Aims. A promising way to g…

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
https://arxiv.org/abs/2403.14403

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Retrieval-Augmented Large Language Models (LLMs), which incorporate the non-parametric knowledge from external knowledge bases into LLMs, have emerged as a promising approach to enhancing response accuracy in several tasks, such as Question-Answering (QA). However, even though there are various approaches dealing with queries of different complexities, they either handle simple queries with unnecessary computational overhead or fail to adequately address complex multi-step queries; yet, not all…

Gradients of brain organization: Smooth sailing from methods development to user community
Jessica Royer, Casey Paquola, Sofie L. Valk, Matthias Kirschner, Seok-Jun Hong, Bo-yong Park, Richard A. I. Bethlehem, Robert Leech, B. T. Thomas Yeo, Elizabeth Jefferies, Jonathan Smallwood, Daniel Margulies, Boris C. Bernhardt
https://ar…

Gradients of brain organization: Smooth sailing from methods development to user community
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends, or gradients, in brain structure and function, offering a framework to unify principles of brain organization across multiple scales. Strong community enthusiasm for these techniques has been instrumental in their widespread adoption and implementation to answer …