Publications (13)
Understanding the approach to thermalization from the eigenspectrum of non-Abelian gauge theories
Harshit Pandey, Ravi Shanker, Sayantan Sharma
We study some interesting aspects of the spectral properties of SU(3) gauge theory, both with and without dynamical quarks (QCD) at thermal equilibrium using lattice gauge theory t…
Momentum Dependence of Heavy Quark Diffusion in a Thermal Gluonic Plasma on the Lattice
Harshit Pandey, Sayantan Sharma
We study the dynamics of a heavy quark in a thermal plasma consisting of non-perturbatively interacting soft momentum gluons at high temperatures, described in terms of an effectiv…
Heavy Quark Momentum Broadening in a Non-Abelian Plasma away from Thermal Equilibrium
Harshit Pandey, Soeren Schlichting, Sayantan Sharma
We perform classical-statistical real-time lattice simulations to compute real-time spectral functions and momentum broadening of quarks in the presence of strongly populated non-A…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey +1
Superpixels are higher-order perceptual groups of pixels in an image, often carrying much more information than the raw pixels. There is an inherent relational structure to the rel…
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…
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
Abheesht Sharma, Harshit Pandey, Gunjan Chhablani +2
In this article, we present our methodologies for SemEval-2021 Task-4: Reading Comprehension of Abstract Meaning. Given a fill-in-the-blank-type question and a corresponding contex…
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature
Abheesht Sharma, Gunjan Chhablani, Harshit Pandey +1
In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora. We open source an eas…
Thermal SU(2) lattice gauge theory for intertwined orders and hole pockets in the cuprates
Harshit Pandey, Maine Christos, Pietro M. Bonetti +3
The cuprate pseudogap phase displays Fermi arc spectral weight in photoemission and scanning tunneling microscopy (STM), while recent magnetotransport observations yield evidence f…
Understanding thermalization in a non-Abelian gauge theory in terms of its soft modes
Sayak Guin, Harshit Pandey, Sayantan Sharma
We measure the maximal Lyapunov exponent of physical states in a SU(2) gauge theory consisting of soft momentum modes both in and out-of-thermal equilibrium conditions using…
Imprints of chiral anomaly and disorder in the Dirac eigenspectrum of QCD at finite temperature
Ravi Shanker, Harshit Pandey, Sayantan Sharma
We perform a comprehensive study of the properties of Dirac eigenvalue spectrum in QCD as a function of temperature on the lattice. In addition to effects due to interplay between…
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey +2
Toxicity detection of text has been a popular NLP task in the recent years. In SemEval-2021 Task-5 Toxic Spans Detection, the focus is on detecting toxic spans within passages. Mos…
LRG at TREC 2020: Document Ranking with XLNet-Based Models
Abheesht Sharma, Harshit Pandey
Establishing a good information retrieval system in popular mediums of entertainment is a quickly growing area of investigation for companies and researchers alike. We delve into t…