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20192026
most citedA Benchmark and Dataset for Post-OCR text correction in Sanskrit

2 citations · 4 across the 11 of their papers we have counts for

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cs.CL2026

It Takes a MAESTRO To Prune Bad Experts

Palaash Goel, Ayush Maheshwari, Tanmoy Chakraborty

Sparsely-activated Mixture-of-Experts (MoE) language models achieve remarkable inference efficiency by activating only a small fraction of parameters per token, yet their full expe…

cs.CL2025

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification

Yashwanth M., Vaibhav Singh, Ayush Maheshwari +2

We propose ARISE, a framework that iteratively induces rules and generates synthetic data for text classification. We combine synthetic data generation and automatic rule induction…

cs.CL2024

LexGen: Domain-aware Multilingual Lexicon Generation

Ayush Maheshwari, Atul Kumar Singh, Karthika NJ +3

Lexicon or dictionary generation across domains has the potential for societal impact, as it can potentially enhance information accessibility for a diverse user base while preserv…

cs.CL2023

Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation

Ayush Maheshwari, Ashim Gupta, Amrith Krishna +4

We release Sāmayik, a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. Sanskrit is a classical language still in sustenance and has a ri…

cs.CL2022★ 2 cited

A Benchmark and Dataset for Post-OCR text correction in Sanskrit

Ayush Maheshwari, Nikhil Singh, Amrith Krishna +1

Sanskrit is a classical language with about 30 million extant manuscripts fit for digitisation, available in written, printed or scannedimage forms. However, it is still considered…

cs.CL2022

DICTDIS: Dictionary Constrained Disambiguation for Improved NMT

Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan

Domain-specific neural machine translation (NMT) systems (e.g., in educational applications) are socially significant with the potential to help make information accessible to a di…