Scholar
Agam Shah
Google Scholar ID: wGA2umEAAAAJ
PhD Candidate, Georgia Institute of Technology
Citations & Impact
Citations
439
H-index
8
i10-index
7
Publications
20
Co-authors
33
list available
Publications
Resume (English only)
Academic Achievements
- - Published paper: VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations, KDD 2025
- - Published paper: Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement, KDD 2025
- - Published paper: SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis, NeurIPS 2024
- - Published paper: CoCoHD: Congress Committee Hearing Dataset, EMNLP 2024 Findings
- - Published paper: Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis, FEVER 2024
- - Published paper: Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis, ACL 2023
- - Working paper: Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks
- - Published paper: Benchmarking Machine Learning Models to Predict Corporate Bankruptcy, Journal of Credit Risk 2023
- - Working paper: Measuring Firm-Level Inflation Exposure: A Deep Learning Approach, Best Paper (FinTech) at FMA Annual Meeting 2022
- - Published paper: Abnormal Trading Detection in the NFT Market: A Statistical Analysis of the NFT Market Structure, SIG-KDD-UC 2023
Research Experience
- - Georgia Institute of Technology, Graduate Research and Teaching Assistant, Jan 2020 - present
- - Financial Services Innovation Lab, Pre-Doctoral Research Fellow, June 2021 - June 2022
- - Institute for Plasma Research (ITER-India), Data Science Intern, Jan 2019 - June 2019
- - Indian Institute of Management Ahmedabad, Computational Finance Intern, May 2018 - July 2018
- - Foyr.com, Web Development Intern, May 2016 - July 2016
Education
- - Georgia Institute of Technology, Ph.D. in Machine Learning, August 2022 - present
- - Georgia Institute of Technology, Master of Science in Quantitative and Computational Finance, August 2019 - May 2021
- - Dhirubhai Ambani Institute of Information and Communication Technology, B. Tech. (Honors) in Information and Communication Technology with minor in Computational Science, August 2015 - May 2019
Background
- Research interests encompass Data Science, Finance, Computational Science, and Natural Language Processing. Honored with the 2023 Rising Star Doctoral Student Research Award.
