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05/31/2023
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems
Clean-label (CL) attack is a form of data poisoning attack where an adve...
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05/25/2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Can language models transform inputs to protect text classifiers against...
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05/23/2023
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation
Sanskrit is a low-resource language with a rich heritage. Digitized Sans...
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07/28/2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Symbolic knowledge can provide crucial inductive bias for training neura...
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06/17/2021
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
In this work, we introduce X-FACT: the largest publicly available multil...
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02/12/2021
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
Neural dependency parsing has achieved remarkable performance for many d...
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01/10/2021
BERT Family Eat Word Salad: Experiments with Text Understanding
In this paper, we study the response of large models from the BERT famil...
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05/21/2020
Evaluating Neural Morphological Taggers for Sanskrit
Neural sequence labelling approaches have achieved state of the art resu...
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04/17/2020
