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2020 – today
- 2026
[j3]Divya Patel, Vansh Parikh, Om Patel, Agam Shah
, Bhaskar Chaudhury:
Exploring Topic Trends in COVID-19 Research Literature Using Nonnegative Matrix Factorization. IEEE Trans. Artif. Intell. 7(1): 586-595 (2026)- 2025
- [c7]Liqin Ye, Agam Shah, Chao Zhang, Sudheer Chava:
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement. KDD (2) 2025: 3598-3609 - [c6]Michael Galarnyk, Veer Kejriwal, Agam Shah, Yash Bhardwaj, Nicholas Watney Meyer, Anand Krishnan, Sudheer Chava:
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations. KDD (2) 2025: 5447-5458 - [c5]Michael Galarnyk, Agam Shah, Dipanwita Guhathakurta, Poojitha Nandigam, Sudheer Chava:
How Inclusively do LMs Perceive Social and Moral Norms? NAACL (Findings) 2025: 4859-4869 - [i21]Michael Galarnyk, Agam Shah, Dipanwita Guhathakurta, Poojitha Nandigam, Sudheer Chava:
How Inclusively do LMs Perceive Social and Moral Norms? CoRR abs/2502.02696 (2025) - [i20]Divya Patel, Vansh Parikh, Om Patel, Agam Shah, Bhaskar Chaudhury:
Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization. CoRR abs/2503.18182 (2025) - [i19]Agam Shah, Liqin Ye, Sebastian Jaskowski, Wei Xu, Sudheer Chava:
Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge. CoRR abs/2504.00042 (2025) - [i18]Nikita Tatarinov, Siddhant Sukhani, Agam Shah, Sudheer Chava:
Language Modeling for the Future of Finance: A Quantitative Survey into Metrics, Tasks, and Data Opportunities. CoRR abs/2504.07274 (2025) - [i17]Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, Arnav Raj, Harpreet Singh Anand, Varun Singh, Aditya Luthra, Ravij Lade, Agam Shah, Sudheer Chava:
KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation. CoRR abs/2505.12495 (2025) - [i16]Agam Shah, Siddhant Sukhani, Huzaifa Pardawala, Saketh Budideti, Riya Bhadani, Rudra Gopal, Siddhartha Somani, Michael Galarnyk, Soungmin Lee, Arnav Hiray, Akshar Ravichandran, Eric Kim, Pranav Aluru, Joshua Zhang, Sebastian Jaskowski, Veer Guda, Meghaj Tarte, Liqin Ye, Spencer Gosden, Rutwik Routu, Rachel Yuh, Sloka Chava, Sahasra Chava, Dylan Patrick Kelly, Aiden Chiang, Harsit Mittal, Sudheer Chava:
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally. CoRR abs/2505.17048 (2025) - [i15]Liqin Ye, Agam Shah, Chao Zhang, Sudheer Chava:
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement. CoRR abs/2505.19675 (2025) - [i14]Michael Galarnyk, Veer Kejriwal, Agam Shah, Yash Bhardwaj, Nicholas W. Meyer, Anand Krishnan, Sudheer Chava:
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations. CoRR abs/2507.08104 (2025) - 2024
- [j2]Dhwanil Shah, Krish Shah, Manan Jagani, Agam Shah, Bhaskar Chaudhury:
CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction. J. Intell. Inf. Syst. 62(6): 1559-1581 (2024) - [c4]Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava:
CoCoHD: Congress Committee Hearing Dataset. EMNLP (Findings) 2024: 15529-15542 - [c3]Huzaifa Pardawala, Siddhant Sukhani, Agam Shah, Veer Kejriwal, Abhishek Pillai, Rohan Bhasin, Andrew DiBiasio, Tarun Mandapati, Dhruv Adha, Sudheer Chava:
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis. NeurIPS 2024 - [i13]Agam Shah, Arnav Hiray, Pratvi Shah, Arkaprabha Banerjee, Anushka Singh, Dheeraj Eidnani, Bhaskar Chaudhury, Sudheer Chava:
Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis. CoRR abs/2402.11728 (2024) - [i12]Michael Galarnyk, Rutwik Routu, Kosha Bheda, Priyanshu Mehta, Agam Shah, Sudheer Chava:
ACL Ready: RAG Based Assistant for the ACL Checklist. CoRR abs/2408.04675 (2024) - [i11]Sebastian Jaskowski, Sahasra Chava, Agam Shah:
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore. CoRR abs/2409.17160 (2024) - [i10]Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava:
CoCoHD: Congress Committee Hearing Dataset. CoRR abs/2410.03099 (2024) - [i9]Huzaifa Pardawala, Siddhant Sukhani, Agam Shah, Veer Kejriwal, Abhishek Pillai, Rohan Bhasin, Andrew DiBiasio, Tarun Mandapati, Dhruv Adha, Sudheer Chava:
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis. CoRR abs/2410.20651 (2024) - 2023
- [c2]Agam Shah, Suvan Paturi, Sudheer Chava:
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis. ACL (1) 2023: 6664-6679 - [i8]Agam Shah, Ruchit Vithani, Abhinav Gullapalli, Sudheer Chava:
FiNER: Financial Named Entity Recognition Dataset and Weak-Supervision Model. CoRR abs/2302.11157 (2023) - [i7]Samrat Sahoo, Nitin Paul, Agam Shah, Andrew Hornback, Sudheer Chava:
The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching. CoRR abs/2303.12998 (2023) - [i6]Agam Shah, Suvan Paturi, Sudheer Chava:
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis. CoRR abs/2305.07972 (2023) - [i5]Agam Shah, Sudheer Chava:
Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks. CoRR abs/2305.16633 (2023) - [i4]Mingxiao Song, Yunsong Liu, Agam Shah, Sudheer Chava:
Abnormal Trading Detection in the NFT Market. CoRR abs/2306.04643 (2023) - 2022
- [c1]Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain. EMNLP 2022: 2322-2335 - [i3]Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. CoRR abs/2211.00083 (2022) - [i2]Emmanuel Alanis, Sudheer Chava, Agam Shah:
Benchmarking Machine Learning Models to Predict Corporate Bankruptcy. CoRR abs/2212.12051 (2022) - 2021
- [j1]Agam Shah, Yagnesh Chauhan, Bhaskar Chaudhury:
Principal component analysis based construction and evaluation of cryptocurrency index. Expert Syst. Appl. 163: 113796 (2021)
2010 – 2019
- 2017
- [i1]Mahipal Jadeja, Neelanshi Varia, Agam Shah:
Deep Reinforcement Learning for Conversational AI. CoRR abs/1709.05067 (2017)
Coauthor Index
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