activity
20182022
most citedCRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System

1 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL20221 cited

Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers

Vivek Kumar, Rishabh Maheshwary, Vikram Pudi

Existing Math Word Problem (MWP) solvers have achieved high accuracy on benchmark datasets. However, prior works have shown that such solvers do not generalize well and rely on sup…

cs.CL20221 cited

Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER

Amit Pandey, Swayatta Daw, Vikram Pudi

We investigate the task of complex NER for the English language. The task is non-trivial due to the semantic ambiguity of the textual structure and the rarity of occurrence of such…

cs.CL2021

Adversarial Examples for Evaluating Math Word Problem Solvers

Vivek Kumar, Rishabh Maheshwary, Vikram Pudi

Standard accuracy metrics have shown that Math Word Problem (MWP) solvers have achieved high performance on benchmark datasets. However, the extent to which existing MWP solvers tr…

cs.CL2021

A Strong Baseline for Query Efficient Attacks in a Black Box Setting

Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

Existing black box search methods have achieved high success rate in generating adversarial attacks against NLP models. However, such search methods are inefficient as they do not…

cs.CL2020

A Context Aware Approach for Generating Natural Language Attacks

Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

We study an important task of attacking natural language processing models in a black box setting. We propose an attack strategy that crafts semantically similar adversarial exampl…

cs.CL2020

Generating Natural Language Attacks in a Hard Label Black Box Setting

Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

We study an important and challenging task of attacking natural language processing models in a hard label black box setting. We propose a decision-based attack strategy that craft…