🧑‍🔬 Ponnurangam Kumaraguru

🏛️ Affiliations

🎓International Institute of Information Technology, HyderabadHyderabad · India2019–2026 · 126 paperscurrent🎓Indraprastha Institute of Information Technology DelhiDelhi · India2010–2024 · 181 papers🎓Carnegie Mellon UniversityPittsburgh · United States2006–2010 · 12 papers🎓International Institute of Information TechnologyPune · India2022 · 3 papers🎓Indian Institute of Technology DelhiNew Delhi · India2019 · 3 papers🎓Indian Institute of Technology KanpurKanpur · India2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions 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

📄 Papers

The most cited first (OpenAlex and our library).

1. From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences (2024 · 9 citations)
   Tools that analyse or generate code-mixed text usually assume their training corpora already reflect what bilingual speakers find natural.
2. Multilingual Coreference Resolution in Low-resource South Asian Languages (2024 · 7 citations)
   Coreference resolution, which links text spans that refer to the same entity, is well developed for English, but South Asian languages have almost no public datasets or tools for it.
3. Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry (2024 · 7 citations)
   Automated proving of olympiad geometry is often treated as a milestone for machine reasoning. AlphaGeometry is a neuro-symbolic system trained on 100 million synthetic proofs. It solved 25 of the 30 problems in the IMO-AG-30 benchmark, while the Wu's method baseline reported alongside it managed only ten. The authors…
4. A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models (2026 · 1 citation)
   Graph-Language Models (GLMs) pair a GNN encoder with an LLM. This paper asks whether the benchmarks used to evaluate them actually test joint reasoning over graph structure and text. The authors re-run standard evaluations on node classification and link prediction, in both supervised and zero-shot settings. They…

All works

12 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. SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShivangi Singhal et al.2020 · 230 citations
2. HLDC: Hindi Legal Documents Corpus ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetArnav Kapoor et al.2022 · 56 citations
3. From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed SentencesACM Transactions on Asian and Low-Resource Language Information ProcessingPrashant Kodali, Anmol Goel, Likhith Asapu, et al.2024 · 9 citations
4. Multilingual Coreference Resolution in Low-resource South Asian LanguagesLanguage Resources and Evaluation Conference (LREC)Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, et al.2024 · 7 citations
5. Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO GeometryarXiv:2404.06405Shiven Sinha, Ameya Prabhu, Ponnurangam Kumaraguru, et al.2024 · 7 citations
6. InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain? ↗arXiv:2402.10567 · no summary yetYogesh Tripathi et al.2024 · 6 citations
7. CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing ↗arXiv:2305.03508 · no summary yetMann Khatri et al.2023 · 3 citations
8. Are Models Trained on Indian Legal Data Fair? ↗arXiv:2303.07247 · no summary yetSahil Girhepuje et al.2023 · 2 citations
9. Exploring Graph Neural Networks for Indian Legal Judgment Prediction ↗arXiv:2310.12800 · no summary yetMann Khatri et al.2023 · 2 citations
10. A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language ModelsFindings of the Association for Computational LinguisticsSoham Petkar, Hari Aakash K, Anirudh Vempati, et al.2026 · 1 citation
11. Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data ↗arXiv:2511.20669 · no summary yetMann Khatri; Mirza Yusuf; Rajiv Ratn Shah;, Ponnurangam Kumaraguru2025
12. Precog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature Engineering ↗Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments · no summary yetT. H. Arjun, Arvindh A., Kumaraguru Ponnurangam2021

🤝 Co-authors here

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

• Ameya Prabhu
• Chirag Agarwal
• Likhith Asapu
• Manish Shrivastava
• Monojit Choudhury
• Prashant Kodali
• Rajiv Ratn Shah

Venues

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

• ACM Transactions on Asian and Low-Resource Language Information Processing: ACM Transactions on Asian and Low-Resource Language Information Processing 2024
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Language Resources and Evaluation Conference (LREC): LREC 2024
• Findings of the Association for Computational Linguistics: ACL 2022
• Proceedings of the AAAI Conference on Artificial Intelligence
• Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments

🔗 Cited by

Papers of our library cite their works 165 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated 2 November 2026

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