2 citations · 6 across the 8 of their papers we have counts for
11 papers
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi +1
As multimodal learning finds applications in a wide variety of high-stakes societal tasks, investigating their robustness becomes important. Existing work has focused on understand…
Overcoming Language Disparity in Online Content Classification with Multimodal Learning
Gaurav Verma, Rohit Mujumdar, Zijie J. Wang +2
Advances in Natural Language Processing (NLP) have revolutionized the way researchers and practitioners address crucial societal problems. Large language models are now the standar…
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting
Hrituraj Singh, Gaurav Verma, Aparna Garimella +1
Author stylized rewriting is the task of rewriting an input text in a particular author's style. Recent works in this area have leveraged Transformer-based language models in a den…
Incorporating Stylistic Lexical Preferences in Generative Language Models
Hrituraj Singh, Gaurav Verma, Balaji Vasan Srinivasan
While recent advances in language modeling have resulted in powerful generation models, their generation style remains implicitly dependent on the training data and can not emulate…
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
We describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, levera…
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers
Gaurav Verma, Niyati Chhaya, Vishwa Vinay
With rising concern around abusive and hateful behavior on social media platforms, we present an ensemble learning method to identify and analyze the linguistic properties of such…