---
title: "Who cites IndicBART: A Pre-trained Model — 63 citing papers"
description: "63 papers of the Elamur Research library cite «IndicBART: A Pre-trained Model for Indic Natural Language Generation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [IndicBART: A Pre-trained Model for Indic Natural…](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/) / cited by

# Who cites «IndicBART: A Pre-trained Model for Indic Natural Language Generation»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «IndicBART: A Pre-trained Model for Indic Natural Language Generation»](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/)

1. [**IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages**Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/gala-2023-indictrans2-towards-high-quality-accessible/)
2. [**Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages**Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/)
3. [**Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation**Santanu Pal, Partha Pakray, Sahinur Rahman Laskar, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-findings-wmt-2023-shared-task/)
4. [**Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages**Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yari-2026-revisiting-metric-reliability-fine-grained/)

59 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/) — IndicBART: A Pre-trained Model for Indic Natural Language Generation