Zobrazeno 1 - 10
of 239 628
pro vyhledávání: '"Burns IS"'
In this paper, we introduce ChatCite, a novel method leveraging large language models (LLMs) for generating comparative literature summaries. The ability to summarize research papers with a focus on key comparisons between studies is an essential tas
Externí odkaz:
http://arxiv.org/abs/2412.02149
Real world planning problems are often too complex to be effectively tackled by a single unaided human. To alleviate this, some recent work has focused on developing a collaborative planning system to assist humans in complex domains, with bridging t
Externí odkaz:
http://arxiv.org/abs/2412.00300
The short gamma-ray burst (sGRB), GRB~170817A, is often considered a rare event. However, its inferred event rate, $\mathcal{O}(100s)\ \text{Gpc}^{-3}\ \text{yr}^{-1}$, exceeds cosmic sGRB rate estimates from high-redshift samples by an order of magn
Externí odkaz:
http://arxiv.org/abs/2411.17244
Autor:
Beniamini, Paz, Wadiasingh, Zorawar, Trigg, Aaron, Chirenti, Cecilia, Burns, Eric, Younes, George, Negro, Michela, Granot, Jonathan
Magnetar Giant Flares (MGFs) are the most energetic non-catastrophic transients known to originate from stellar objects. The first discovered events were nearby. In recent years, several extragalactic events have been identified, implying an extremel
Externí odkaz:
http://arxiv.org/abs/2411.16846
Autor:
Allton, Chris, Aarts, Gert, Anwar, M. Naeem, Bignell, Ryan, Burns, Timothy J., García-Mascaraque, Sergio Chaves, Hands, Simon, Jäger, Benjamin, Kim, Seyong, Lombardo, Maria Paola, Page, Benjamin, Ryan, Sínead, Skullerud, Jon-Ivar, Smecca, Antonio, Spriggs, Thomas
The FASTSUM Collaboration has developed a comprehensive research programme in thermal lattice QCD using 2+1 flavour ensembles. We review our recent hadron spectrum analyses of open charm mesons and charm baryons at non-zero temperature. We also detai
Externí odkaz:
http://arxiv.org/abs/2411.15937
Autor:
Burns, Owen, Qureshi, Rizwan
We address the issue of the exploding computational requirements of recent State-of-the-art (SOTA) open set multimodel 3D mapping (dense 3D mapping) algorithms and present Voxel-Aggregated Feature Synthesis (VAFS), a novel approach to dense 3D mappin
Externí odkaz:
http://arxiv.org/abs/2411.10616
Autor:
Li, Maggie L., Ho, Anna Y. Q., Ryan, Geoffrey, Perley, Daniel A., Lamb, Gavin P., Nayana, A. J., Andreoni, Igor, Anupama, G. C., Bellm, Eric C., Berger, Edo, Bloom, Joshua S., Burns, Eric, Caiazzo, Ilaria, Chandra, Poonam, Coughlin, Michael W., El-Badry, Kareem, Graham, Matthew J., Kasliwal, Mansi, Keating, Garrett K., Kulkarni, S. R., Kumar, Harsh, Masci, Frank J., Perley, Richard A., Purdum, Josiah, Rao, Ramprasad, Rodriguez, Antonio C., Rusholme, Ben, Sarin, Nikhil, Sollerman, Jesper, Srinivasaragavan, Gokul P., Swain, Vishwajeet, Vanderbosch, Zachary
In the past few years, the improved sensitivity and cadence of wide-field optical surveys have enabled the discovery of several afterglows without associated detected gamma-ray bursts (GRBs). We present the identification, observations, and multiwave
Externí odkaz:
http://arxiv.org/abs/2411.07973
The susceptibility of timestepping algorithms to numerical instabilities is an important consideration when simulating partial differential equations (PDEs). Here we identify and analyze a pernicious numerical instability arising in pseudospectral si
Externí odkaz:
http://arxiv.org/abs/2411.07286
Autor:
Palepu, Anil, Dhillon, Vikram, Niravath, Polly, Weng, Wei-Hung, Prasad, Preethi, Saab, Khaled, Tanno, Ryutaro, Cheng, Yong, Mai, Hanh, Burns, Ethan, Ajmal, Zainub, Kulkarni, Kavita, Mansfield, Philip, Webster, Dale, Barral, Joelle, Gottweis, Juraj, Schaekermann, Mike, Mahdavi, S. Sara, Natarajan, Vivek, Karthikesalingam, Alan, Tu, Tao
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical settings remain
Externí odkaz:
http://arxiv.org/abs/2411.03395
Autor:
Mirchandani, Suvir, Yuan, David D., Burns, Kaylee, Islam, Md Sazzad, Zhao, Tony Z., Finn, Chelsea, Sadigh, Dorsa
In recent years, imitation learning from large-scale human demonstrations has emerged as a promising paradigm for training robot policies. However, the burden of collecting large quantities of human demonstrations is significant in terms of collectio
Externí odkaz:
http://arxiv.org/abs/2411.01915