🧑‍🔬 Pruthwik Mishra

🏛️ Affiliations

🎓Sardar Vallabhbhai National Institute of Technology SuratSurat · India2024–2026 · 12 papersEmployment since 2024 · Assistant Professor, Artificial Intelligencecurrent🎓International Institute of Information Technology, HyderabadHyderabad · India2013–2025 · 13 papersEducation 2013–2015 · MS by Research, CSEEducation 2016–2023 · PhD, CSEEmployment 2023–2024 · Senior Research Associate, MT and NLP Lab, LTRCEmployment 2024 · Post Doctoral Fellow, MT and NLP Lab, LTRC🎓National Institute of Technology RourkelaRourkela · India2006–2010Education 2006–2010 · Bachelor of Technology, CSE

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Arabic Dialect Identification for Travel and Twitter Text (2019 · 26 citations)
   This paper describes the IIIT Hyderabad entry to the MADAR Shared Task on fine-grained Arabic dialect identification at WANLP 2019.
2. TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection (2026 · 1 citation)
   This paper describes the TransformerTrio systems for SemEval-2026 Task 13, which asks whether source code was written by a person or an LLM when programming languages, domains and generators shift between training and test.
3. AGIC: Attention-Guided Image Captioning to Improve Caption Relevance (2026)
   Image captioning systems often produce vague descriptions that miss secondary objects or details. AGIC is a training-free remedy. A pretrained vision transformer first produces self-attention maps, which are averaged over heads and layers. These maps rescale the input image so that strongly attended regions are…
4. Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5 (2025)
   The authors took part in the IndicGEC 2025 shared task at the BHASHA workshop. The task was to correct grammatical errors in sentences in five Indian languages: Hindi, Bengali, Malayalam, Tamil and Telugu. The system works in two steps. First, IndicTrans transliterates English or romanized words into the script of…

All works

9 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Arabic Dialect Identification for Travel and Twitter TextArabic Natural Language Processing Workshop (WANLP)Pruthwik Mishra, Vandan Mujadia2019 · 26 citations
2. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language ↗Proceedings of the 20th International Conference on Natural Language Processing (ICON) · no summary yetVandan Mujadia et al.2023 · 3 citations
3. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages ↗arXiv:2404.02512 · no summary yetVandan Mujadia et al.2024 · 2 citations
4. TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Avi Patel, Manthan Laddha, Pushti Sapovadiya, et al.2026 · 1 citation
5. goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation ↗Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025) · no summary yetDeeraj S K et al.2025 · 1 citation
6. AGIC: Attention-Guided Image Captioning to Improve Caption RelevanceFindings of the Association for Computational LinguisticsL. D. M. S. Sai Teja, Ashok Urlana, Pruthwik Mishra2026
7. Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian LanguagesRucha Ambaliya, Mahika Dugar, Pruthwik Mishra2025
8. Crosslingual Optimized Metric for Translation Assessment of Indian Languages ↗arXiv:2509.17667 · no summary yetArafat Ahsan et al.2025
9. NIT-Surat@L-Sum: A Semantic Retrieval-Based Framework for Summarizing Indian Judicial Documents ↗Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025) · no summary yetNita Jadav, Ashok Urlana, Pruthwik Mishra2025

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• L. D. M. S. Sai Teja
• Shrikant Malviya
• Vandan Mujadia

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025) ×2
• Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages: Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• International Workshop on Semantic Evaluation (SemEval): SemEval 2026
• Arabic Natural Language Processing Workshop (WANLP): WANLP 2019
• Proceedings of the 20th International Conference on Natural Language Processing (ICON)

🔗 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 1 November 2026

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