Scholar

Dr. Shubham Kumar Nigam

Google Scholar ID: 73t3-rQAAAAJ

University of Birmingham, BharatGen, DAAD Postdoc-NeT-AI Fellow, IIT Kanpur, Adobe

AI for Health CareExplainable Legal AILegal Data AnalyticsNLPGenerative AI

Citations & Impact

All-time

Citations

429

H-index

i10-index

Publications

Co-authors

list available

Resume

Academic Achievements

Introduced the Court Judgment Prediction and Explanation (CJPE) benchmark task in Legal NLP during Ph.D.
Built large-scale legal datasets: ILDC, NyayaAnumana, and TathyaNyaya.
Developed domain-specific LLMs: InLegalLLaMA, FactLegalLLaMA, and RhetoricLLaMA.
Published at top-tier venues including ACL, EMNLP, NAACL, and COLING.
Recipient of the DAAD Postdoc-NeT-AI Fellowship (Germany) for research in trustworthy and explainable AI.
Open-sourced models and datasets via BharatGen and L-NLProc on HuggingFace.

Co-authors

9 total