4 citations · 8 across the 6 of their papers we have counts for
7 papers
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Suhas S Kowshik, Abhishek Divekar, Vijit Malik
Large language models (LLMs) have demonstrated remarkable performance in diverse tasks using zero-shot and few-shot prompting. Even though their capabilities of data synthesis have…
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Ayush Kumar, Vijit Malik, Jithendra Vepa
Intent Detection is one of the core tasks of dialog systems. Few-shot Intent Detection is challenging due to limited number of annotated utterances for novel classes. Generalized F…
Semantic Segmentation of Legal Documents via Rhetorical Roles
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha +4
Legal documents are unstructured, use legal jargon, and have considerable length, making them difficult to process automatically via conventional text processing techniques. A lega…
Socially Aware Bias Measurements for Hindi Language Representations
Vijit Malik, Sunipa Dev, Akihiro Nishi +2
Language representations are efficient tools used across NLP applications, but they are strife with encoded societal biases. These biases are studied extensively, but with a primar…
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam +4
An automated system that could assist a judge in predicting the outcome of a case would help expedite the judicial process. For such a system to be practically useful, predictions…
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
Aditya Jindal, Ankur Gupta, Jaya Srivastava +4
Recently, there has been an interest in factual verification and prediction over structured data like tables and graphs. To circumvent any false news incident, it is necessary to n…
Adv-OLM: Generating Textual Adversaries via OLM
Vijit Malik, Ashwani Bhat, Ashutosh Modi
Deep learning models are susceptible to adversarial examples that have imperceptible perturbations in the original input, resulting in adversarial attacks against these models. Ana…