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Author

Agam Shah

Observed name: Shah, Agam
ORCID: 0000-0002-9062-2430
Observed ORCID: 0000-0002-9062-2430
OpenAlex ID: A5017623662
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
2022 · Raj Shah, Kunal Chawla, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 74
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Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
2023 · Agam Shah, Suvan Paturi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 38
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Principal component analysis based construction and evaluation of cryptocurrency index
2020 · Agam Shah, Yagnesh Chauhan, et al. · Expert Systems with Applications · 32
Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks
2023 · Agam Shah, Sudheer Chava · SSRN Electronic Journal · 15
Firm-Level Input Price Changes and Their Effects: A Deep Learning Approach
2022 · Sudheer Chava, Wendi Du, et al. · SSRN Electronic Journal · 12
Can You Repair What You Own?
2018 · Agam Shah · Mechanical Engineering · 10
Benchmarking machine learning models to predict corporate bankruptcy
2023 · Emmanuel Alanis, Sudheer Chava, et al. · The Journal of Credit Risk · 8
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
2022 · Shah, Raj Sanjay, Chawla, Kunal, et al. · arXiv (Cornell University) · 6
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Benchmarking Machine Learning Models to Predict Corporate Bankruptcy
2022 · Emmanuel Alanis, Sudheer Chava, et al. · SSRN Electronic Journal · 6
Deep Reinforcement Learning for Conversational AI
2017 · Jadeja, Mahipal, Varia, Neelanshi, et al. · arXiv (Cornell University) · 6
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Abnormal Trading Detection in the NFT Market
2023 · Song, Mingxiao, Liu, Yunsong, et al. · RePEc: Research Papers in Economics · 5
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The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching
2023 · Sahoo, Samrat, Paul, Nitin, et al. · arXiv (Cornell University) · 4
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Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
2025 · Agam Shah, Siddhant Sukhani, et al. · SSRN Electronic Journal · 3
CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction
2024 · Dhwanil Shah, Krish Shah, et al. · Journal of Intelligent Information Systems · 3
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Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
2024 · Agam Shah, Arnav Hiray, et al. · Fact Extraction and VERification Workshop (FEVER) · 3
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SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
2024 · Huzaifa Pardawala, Siddhant Sukhani, et al. · neural information processing systems · 3
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Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
2025 · Liqin Ye, Agam Shah, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
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Understanding and Attaining an Investment Grade Rating in the Age of Explainable AI
2024 · Ravi Makwana, Dhruvil Bhatt, et al. · Computational Economics · 2
FiNER-ORD: Financial Named Entity Recognition Open Research Dataset
2023 · Shah, Agam, Gullapalli, Abhinav, et al. · arXiv (Cornell University) · 2
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Benchmarking Machine Learning Models to Predict Corporate Bankruptcy
2022 · Alanis, Emmanuel, Chava, Sudheer, et al. · RePEc: Research Papers in Economics · 2
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Trade Offs
2018 · Agam Shah · Mechanical Engineering · 2
The Chain Gang
2018 · Agam Shah · Mechanical Engineering · 2
Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities
2026 · Nikita Tatarinov, Siddhant Sukhani, et al. · Workshop on Generation, Evaluation and Metrics (GEM) · 1
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KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation
2026 · Nikita Tatarinov, Vidhyakshaya Kannan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
2025 · Michael Galarnyk, Veer Kejriwal, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
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Works count: 44
Citation count: 252
H-index: 7
I10-index: 6
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