activity
20202025
most citedAQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

33 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2025

High-resolution simulations unravel intensification mechanisms of pyrocumulonimbus clouds

Qing Wang, Cenk Gazen, Matthias Ihme +6

Pyrocumulonimbus (pyroCb) firestorms -- wildfire-generated thunderstorms -- can trigger rapid fire spread. However, the multi-physics nature of pyroCb has made their core mechanism…

math.NA2024★ 1 cited

Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme

Shantanu Shahane, Sheide Chammas, Deniz A. Bezgin +8

Conventional WENO3 methods are known to be highly dissipative at lower resolutions, introducing significant errors in the pre-asymptotic regime. In this paper, we employ a rational…

physics.ao-ph2023

Accelerating large-eddy simulations of clouds with Tensor Processing Units

Sheide Chammas, Qing Wang, Tapio Schneider +3

Clouds, especially low clouds, are crucial for regulating Earth's energy balance and mediating the response of the climate system to changes in greenhouse gas concentrations. Despi…

cs.CV2020★ 20 cited

A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus

Bowen Zhang, Hexiang Hu, Joonseok Lee +5

Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, b…

cs.CL2020★ 33 cited

AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Sayali Kulkarni, Sheide Chammas, Wan Zhu +2

Summarization is the task of compressing source document(s) into coherent and succinct passages. This is a valuable tool to present users with concise and accurate sketch of the to…