output
20182026
most citedMultitask Prompted Training Enables Zero-Shot Task Generalization

563 citations

6 papers

astro-ph.SR2026

Structure and Dynamics of the Inner Corona Measured from the DEB Initiative 2024 Eclipse Image Sequence

Matthew J Penn, Robert Baer, Chris Mandrell +66

The Dynamic Eclipse Broadcast (DEB) Initiative citizen science program observed coronal visible continuum brightness during the 2024 April 8 total eclipse from locations across Nor…

astro-ph.SR2024★ 3 cited

A variable star population in the open cluster NGC\,6819 observed by the Kepler spacecraft

S. Sanjayan, A. S. Baran, P. Nemeth +1

We present the list of variable stars we found in the \kep\ superstamp data covering approximately nine arcminutes from the central region of NGC6819. This is a continuation of our…

eess.SY2024★ 137 cited

Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector

Subir Majumder, Lin Dong, Fatemeh Doudi +7

Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks. Wh…

cs.LG2021★ 563 cited

Multitask Prompted Training Enables Zero-Shot Task Generalization

Victor Sanh, Albert Webson, Colin Raffel +38

Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…

cs.CV2019

A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization

Isaak Lim, Moritz Ibing, Leif Kobbelt

Automatic synthesis of high quality 3D shapes is an ongoing and challenging area of research. While several data-driven methods have been proposed that make use of neural networks…

cs.CV2018★ 5 cited

Human Motion Analysis with Deep Metric Learning

Huseyin Coskun, David Joseph Tan, Sailesh Conjeti +2

Effectively measuring the similarity between two human motions is necessary for several computer vision tasks such as gait analysis, person identi- fication and action retrieval. N…