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ORCIDJyotsana Khatri
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2020 – today
- 2026
[i4]Jyotsana Khatri, Manasi Patwardhan:
Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance. CoRR abs/2603.27360 (2026)- [i3]Muskan Gupta, Suraj Thapa, Jyotsana Khatri:
Leveraging LLMs and Heterogeneous Knowledge Graphs for Persona-Driven Session-Based Recommendation. CoRR abs/2604.06928 (2026) - 2025
- [i2]Jyoti Narwariya, Priyanka Gupta, Muskan Gupta, Jyotsana Khatri, Lovekesh Vig:
SemSR: Semantics aware robust Session-based Recommendations. CoRR abs/2508.20587 (2025) - 2024
- [c11]Shubham Gandhi
, Manasi Patwardhan, Jyotsana Khatri, Lovekesh Vig, Raveendra Kumar Medicherla:
Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java Refinement. LLM4CODE@ICSE 2024: 46-53 - [c10]Ashutosh Ranjan, Vivek Srivastava, Jyotsana Khatri, Savita Bhat, Shirish S. Karande:
Meme Generation with Multi-modal Input and Planning. MMGR@MM 2024: 21-25 - 2023
- [c9]Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig:
Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. IJCNLP (2) 2023: 83-92 - [c8]Jyotsana Khatri, Rudra Murthy, Amar Prakash Azad, Pushpak Bhattacharyya:
A Study of Multilingual versus Meta-Learning for Language Model Pre-Training for Adaptation to Unseen Low Resource Languages. MTSummit (1) 2023: 26-34 - 2022
- [c7]V. Rudra Murthy, Pallab Bhattacharjee, Rahul Sharnagat, Jyotsana Khatri, Diptesh Kanojia, Pushpak Bhattacharyya:
HiNER: A large Hindi Named Entity Recognition Dataset. LREC 2022: 4467-4476 - [i1]V. Rudra Murthy, Pallab Bhattacharjee, Rahul Sharnagat, Jyotsana Khatri, Diptesh Kanojia, Pushpak Bhattacharyya:
HiNER: A Large Hindi Named Entity Recognition Dataset. CoRR abs/2204.13743 (2022) - 2021
- [j1]Jyotsana Khatri, V. Rudra Murthy, Tamali Banerjee, Pushpak Bhattacharyya:
Simple measures of bridging lexical divergence help unsupervised neural machine translation for low-resource languages. Mach. Transl. 35(4): 711-744 (2021) - [c6]Jyotsana Khatri, Nikhil Saini, Pushpak Bhattacharyya:
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021. WAT@ACL/IJCNLP 2021: 217-223 - [c5]Jyotsana Khatri, V. Rudra Murthy, Pushpak Bhattacharyya:
Language Model Pretraining and Transfer Learning for Very Low Resource Languages. WMT@EMNLP 2021: 995-998 - 2020
- [c4]Jyotsana Khatri, Pushpak Bhattacharyya:
Filtering Back-Translated Data in Unsupervised Neural Machine Translation. COLING 2020: 4334-4339 - [c3]Jyotsana Khatri, V. Rudra Murthy, Pushpak Bhattacharyya:
A Study of Efficacy of Cross-lingual Word Embeddings for Indian Languages. COMAD/CODS 2020: 347-348 - [c2]Nikhil Saini, Jyotsana Khatri, Preethi Jyothi, Pushpak Bhattacharyya:
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020. IWSLT 2020: 178-186
2010 – 2019
- 2019
- [c1]Jyotsana Khatri, Pushpak Bhattacharyya:
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task. WMT (3) 2019: 197-201
Coauthor Index
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