Zobrazeno 1 - 10
of 5 201
pro vyhledávání: '"Bajaj P"'
Bug fixing and code generation have been core research topics in software development for many years. The recent explosive growth in Large Language Models has completely transformed these spaces, putting in reach incredibly powerful tools for both. I
Externí odkaz:
http://arxiv.org/abs/2411.07586
Autor:
Elmegreen, Bruce G., Adamo, Angela, Bajaj, Varun, Duarte-Cabral, Ana, Calzetti, Daniela, Cignoni, Michele, Correnti, Matteo, Gallagher III, John S., Grasha, Kathryn, Gregg, Benjamin, Johnson, Kelsey E., Linden, Sean T., Messa, Matteo, Ostlin, Goran, Pedrini, Alex, Ryon, Jenna
JWST/MIRI images have been used to study the Fourier transform power spectra (PS) of two spiral galaxies, NGC 628 and NGC 5236, and two dwarfs, NGC 4449 and NGC 5068, at distances ranging from 4 to 10 Mpc. The PS slopes on scales larger than 200 pc r
Externí odkaz:
http://arxiv.org/abs/2411.06594
Autor:
Pascucci, Ilaria, Beck, Tracy L., Cabrit, Sylvie, Bajaj, Naman S., Edwards, Suzan, Louvet, Fabien, Najita, Joan, Skinner, Bennett N., Gorti, Uma, Salyk, Colette, Brittain, Sean D., Krijt, Sebastiaan, Page, James Muzerolle, Ruaud, Maxime, Schwarz, Kamber, Semenov, Dmitry, Duchene, Gaspard, Villenave, Marion
Radially extended disk winds could be the key to unlocking how protoplanetary disks accrete and how planets form and migrate. A distinctive characteristic is their nested morphology of velocity and chemistry. Here we report JWST/NIRSpec spectro-imagi
Externí odkaz:
http://arxiv.org/abs/2410.18033
Material segmentation is a complex task, particularly when dealing with aerial data in poor lighting and atmospheric conditions. To address this, hyperspectral data from specialized cameras can be very useful in addition to RGB images. However, due t
Externí odkaz:
http://arxiv.org/abs/2410.15208
Large Language Models (LLMs) have shown remarkable capabilities in a multitude of Natural Language Processing (NLP) tasks. However, these models are still not immune to limitations such as social biases, especially gender bias. This work investigates
Externí odkaz:
http://arxiv.org/abs/2410.09992
Autor:
Xie, Chengyan, Pascucci, Ilaria, Deng, Dingshan, Bajaj, Naman S., Alexander, Richard, Sellek, Andrew, Kospal, Agnes, Ballabio, Giulia, Gorti, Uma
We present JWST/MIRI observations of T~Cha, a highly variable ($\Delta V \sim$3-5\,mag) accreting Sun-like star surrounded by a disk with a large ($\sim 15$\,au) dust gap. We find that the JWST mid-infrared spectrum is signiticantly different from th
Externí odkaz:
http://arxiv.org/abs/2410.00136
Autor:
Xie, Quanting, Min, So Yeon, Zhang, Tianyi, Xu, Kedi, Bajaj, Aarav, Salakhutdinov, Ruslan, Johnson-Roberson, Matthew, Bisk, Yonatan
There is no limit to how much a robot might explore and learn, but all of that knowledge needs to be searchable and actionable. Within language research, retrieval augmented generation (RAG) has become the workhouse of large-scale non-parametric know
Externí odkaz:
http://arxiv.org/abs/2409.18313
Autor:
Bajaj, Utkarsh
In this paper, we first study hypergraph rewriting in categorical terms in an attempt to define the notion of events and develop foundations of causality in graph rewriting. We introduce novel concepts within the framework of double-pushout rewriting
Externí odkaz:
http://arxiv.org/abs/2409.01006
Autor:
Bajaj, Bhavuk Sikka
This study addresses the use of Reed-Solomon error correction codes in QR codes to enhance resilience against failures. To fully grasp this approach, a basic cryptographic context is provided, necessary for understanding Reed-Solomon codes. The study
Externí odkaz:
http://arxiv.org/abs/2407.17364
Given the ubiquity of charts as a data analysis, visualization, and decision-making tool across industries and sciences, there has been a growing interest in developing pre-trained foundation models as well as general purpose instruction-tuned models
Externí odkaz:
http://arxiv.org/abs/2407.04172