🧑‍🔬 Agam Shah

🏛️ Affiliations

🎓Georgia Institute of TechnologyAtlanta · United States2019–2026 · 30 papersEducation 2019–2021 · MS, Quantitative and Computational FinanceEducation since 2022 · PhD in Machine Learning, School of Computational Science & EngineeringEmployment since 2020current🎓Dhirubhai Ambani UniversityGandhinagar · India2015–2022 · 3 papersEducation 2015–2019 · B.Tech (Hons), Information and Communication Technology🎓Indian Institute of Technology KharagpurKharagpur · India2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation (2026 · 1 citation)
   Long-context LLMs can now take in entire documents, but existing benchmarks rarely define question difficulty in a principled, controllable way, and their questions are usually written by hand or by LLMs.
2. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities (2026 · 1 citation)
   Financial NLP has grown quickly at major NLP venues, but earlier surveys chose papers by hand and often focused on a single method or task.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetRaj Shah et al.2022 · 89 citations
2. WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain ↗arXiv (Cornell University) · no summary yetRaj Sanjay Shah et al.2022 · 47 citations
3. KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, et al.2026 · 1 citation
4. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data OpportunitiesWorkshop on Generation, Evaluation and Metrics (GEM)Nikita Tatarinov, Siddhant Sukhani, Agam Shah, et al.2026 · 1 citation
5. BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore ↗arXiv:2409.17160 · no summary yetSebastian Jaskowski, Sahasra Chava, Agam Shah2024

🤝 Co-authors here

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

• Nikita Tatarinov ×2
• Sudheer Chava ×2

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Workshop on Generation, Evaluation and Metrics (GEM): GEM 2026
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 31 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/agam-shah/