---
title: "Who cites Janki Nawale — 171 papers of our library"
description: "171 papers of the Elamur Research library cite the works of Janki Nawale, found in their bibliographies; the most cited first."
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---
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# Who cites Janki Nawale

172 citations of their works from 171 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · [← Janki Nawale](https://md.research.elamur.ai/free/en/authors/janki-nawale/)

1. **[MADLAD-400: A Multilingual And Document-Level Large Audited Dataset](https://md.research.elamur.ai/free/en/papers/kudugunta-2023-madlad-400-multilingual-document-level/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.*2023 · 213 citations*
2. [**MMTEB: Massive Multilingual Text Embedding Benchmark arXiv:2502.13595**Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.*2025 · 103 citations*](https://md.research.elamur.ai/free/en/papers/enevoldsen-2025-mmteb-massive-multilingual-text-embedding/)
3. **[WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects](https://md.research.elamur.ai/free/en/papers/deutsch-2025-wmt24-expanding-language-coverage-wmt24/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Deutsch, Eleftheria Briakou, Isaac Rayburn Caswell, et al.*2025 · 80 citations*
4. **[MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks](https://md.research.elamur.ai/free/en/papers/ahuja-2024-megaverse-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.*2024 · 74 citations*
5. **[IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages](https://md.research.elamur.ai/free/en/papers/khan-2024-indicllmsuite-blueprint-creating-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.*2024 · 48 citations*
6. [**Airavata: Introducing Hindi Instruction-tuned LLM arXiv:2401.15006**Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/gala-2024-airavata-introducing-hindi-instruction-tuned/)
7. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William Held, Yanzhe Zhang, Minzhi Li, et al.*2025 · 18 citations*
8. **[Perceptions of Language Technology Failures from South Asian English Speakers](https://md.research.elamur.ai/free/en/papers/holt-2024-perceptions-language-technology-failures-south/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Faye Holt, William Held, Diyi Yang*2024 · 9 citations*
9. **[Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?](https://md.research.elamur.ai/free/en/papers/ramasethu-2026-can-linguistically-related-languages-guide/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, et al.*2026 · 1 citation*
10. **[Improving Public Health Safety in Low-Resource Languages Using a Human-Verified Health Misinformation Corpus and Large Language Models](https://md.research.elamur.ai/free/en/papers/maharjan-2026-improving-public-health-safety-low/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Sujal Maharjan, Astha Shrestha, Laxmi Thapa, et al.*2026 · 1 citation*
11. **[PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection](https://md.research.elamur.ai/free/en/papers/ulli-2026-polar-bears-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Vinay Ulli, Jyoti Kumari*2026 · 1 citation*
12. **[Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations](https://md.research.elamur.ai/free/en/papers/rinki-2026-purdah-patriarchy-evaluating-mitigating-south/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, et al.*2026 · 1 citation*
13. **[Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages](https://md.research.elamur.ai/free/en/papers/yari-2026-revisiting-metric-reliability-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al.*2026 · 1 citation*
14. **[Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya*2026*
15. **[Beyond Accuracy: A Structured Error Analysis of Multilingual LLMs on Marathi Script Variation and Syntax](https://md.research.elamur.ai/free/en/papers/patil-2026-beyond-accuracy-structured-error-analysis/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Tejas Patil, Barnali Chetia*2026*
16. **[Cascaded Modular or End-to-End? : An Investigation on Speech-to-Speech Translation Task for Dravidian Languages](https://md.research.elamur.ai/free/en/papers/nali-2026-cascaded-modular-or-end-end/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Bhavana Nali, Abhik Jana*2026*
17. **[Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction](https://md.research.elamur.ai/free/en/papers/rathore-2026-combining-distantly-supervised-models-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vipul Kumar Rathore, Malik Hammad Faisal, Parag Singla, et al.*2026*
18. **[Improving Language Identification for Code-Switched Speech: The Pivotal Role of Accented English](https://md.research.elamur.ai/free/en/papers/patra-2026-improving-language-identification-code-switched/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adyasha Patra, Dhiraj Kumar Sah, Preethi Jyothi*2026*
19. **[Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text](https://md.research.elamur.ai/free/en/papers/pasi-2026-multilingual-multimodal-m2m-unlocking-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Piyush Singh Pasi*2026*
20. **[Nanda Family: Open-Weights Generative Large Language Models for Hindi](https://md.research.elamur.ai/free/en/papers/singh-2026-nanda-family-open-weights-generative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.*2026*
21. **[Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/) [International Sanskrit Computational Linguistics Symposium](https://md.research.elamur.ai/free/en/venues/iscls/)**Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al.*2026*
22. **[STAR-IL: A Dataset for Style-Aware Machine Translation of Product Reviews in Indian Languages](https://md.research.elamur.ai/free/en/papers/shetye-2026-star-il-dataset-style-aware/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ketaki Shetye, Dipti Misra Sharma, Parameswari Krishnamurthy*2026*
23. **[Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages](https://md.research.elamur.ai/free/en/papers/sharma-2026-task-lens-cross-task-utility/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Swati Sharma, Divya V. Sharma, Anubha Gupta*2026*
24. **[What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels](https://md.research.elamur.ai/free/en/papers/yadavalli-2026-what-do-prosody-text-convey/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yadavalli, Tiago Pimentel, Tamar I Regev, et al.*2026*

147 more citing papers of our library have no page here yet.

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