no code implementations • EMNLP 2020 • Adithya Pratapa, Sai Muralidhar Jayanthi, Kavya Nerella
Fact-verification systems are well explored in the NLP literature with growing attention owing to shared tasks like FEVER.
1 code implementation • ACL (SIGMORPHON) 2021 • Sai Muralidhar Jayanthi, Adithya Pratapa
In this work, we analyze the robustness of neural machine translation systems towards grammatical perturbations in the source.
1 code implementation • ICON 2021 • Sai Muralidhar Jayanthi, Varsha Embar, Karthik Raghunathan
The wide applicability of pretrained transformer models (PTMs) for natural language tasks is well demonstrated, but their ability to comprehend short phrases of text is less explored.
no code implementations • 14 May 2024 • Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J Han, Katrin Kirchhoff
Despite safety guardrails, experiments on jailbreaking demonstrate the vulnerability of SLMs to adversarial perturbations and transfer attacks, with average attack success rates of 90% and 10% respectively when evaluated on a dataset of carefully designed harmful questions spanning 12 different toxic categories.
no code implementations • 14 May 2024 • Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, Rohit Paturi, David Huang, Prashant Mathur, Jie Yuan, Dhanush Bekal, Xing Niu, Sai Muralidhar Jayanthi, Xilai Li, Karel Mundnich, Monica Sunkara, Sundararajan Srinivasan, Kyu J Han, Katrin Kirchhoff
The models are instruction finetuned using continuous latent representations extracted from the speech foundation model to achieve optimal zero-shot performance on a diverse range of speech processing tasks using natural language instructions.
no code implementations • 14 Nov 2023 • Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 15 Dec 2021 • Sai Muralidhar Jayanthi, Varsha Embar, Karthik Raghunathan
The wide applicability of pretrained transformer models (PTMs) for natural language tasks is well demonstrated, but their ability to comprehend short phrases of text is less explored.
1 code implementation • NAACL (CALCS) 2021 • Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W Black
The NLP community has witnessed steep progress in a variety of tasks across the realms of monolingual and multilingual language processing recently.
1 code implementation • EACL (DravidianLangTech) 2021 • Sai Muralidhar Jayanthi, Akshat Gupta
In this paper we present our submission for the EACL 2021-Shared Task on Offensive Language Identification in Dravidian languages.
1 code implementation • EMNLP 2020 • Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig
We introduce NeuSpell, an open-source toolkit for spelling correction in English.