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Found 10 papers, 6 papers with code
Constrained Fact Verification for FEVER
Fact-verification systems are well explored in the NLP literature with growing attention owing to shared tasks like FEVER.
A Study of Morphological Robustness of Neural Machine Translation
In this work, we analyze the robustness of neural machine translation systems towards grammatical perturbations in the source.
Evaluating Pretrained Transformer Models for Entity Linking inTask-Oriented Dialog
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.
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
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.
SpeechVerse: A Large-scale Generalizable Audio Language Model
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.
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs
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)
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Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog
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.
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing
The NLP community has witnessed steep progress in a variety of tasks across the realms of monolingual and multilingual language processing recently.
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification
In this paper we present our submission for the EACL 2021-Shared Task on Offensive Language Identification in Dravidian languages.
NeuSpell: A Neural Spelling Correction Toolkit
We introduce NeuSpell, an open-source toolkit for spelling correction in English.
