Agam Shah

According to our database, Agam Shah authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations.

Michael Galarnyk, Veer Kejriwal, Agam Shah, Yash Bhardwaj, Nicholas Meyer, Anand Krishnan, Sudheer Chava

CoRR, July, 2025

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement.

Liqin Ye, Agam Shah, Chao Zhang, Sudheer Chava

CoRR, May, 2025

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally.

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

CoRR, May, 2025

KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation.

Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, Arnav Raj, Harpreet Singh Anand, Varun Singh, Aditya Luthra, Ravij Lade, Agam Shah, Sudheer Chava

CoRR, May, 2025

Language Modeling for the Future of Finance: A Quantitative Survey into Metrics, Tasks, and Data Opportunities.

Nikita Tatarinov, Siddhant Sukhani, Agam Shah, Sudheer Chava

CoRR, April, 2025

Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge.

Agam Shah, Liqin Ye, Sebastian Jaskowski, Wei Xu, Sudheer Chava

CoRR, April, 2025

Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization.

Divya Patel, Vansh Parikh, Om Patel, Agam Shah, Bhaskar Chaudhury

CoRR, March, 2025

How Inclusively do LMs Perceive Social and Moral Norms?

Michael Galarnyk, Agam Shah, Dipanwita Guhathakurta, Poojitha Nandigam, Sudheer Chava

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction.

Dhwanil Shah, Krish Shah, Manan Jagani, Agam Shah, Bhaskar Chaudhury

J. Intell. Inf. Syst., December, 2024

BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore.

Sebastian Jaskowski, Sahasra Chava, Agam Shah

CoRR, 2024

ACL Ready: RAG Based Assistant for the ACL Checklist.

Michael Galarnyk, Rutwik Routu, Kosha Bheda, Priyanshu Mehta, Agam Shah, Sudheer Chava

CoRR, 2024

Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis.

Agam Shah, Arnav Hiray, Pratvi Shah, Arkaprabha Banerjee, Anushka Singh, Dheeraj Eidnani, Bhaskar Chaudhury, Sudheer Chava

CoRR, 2024

SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis.

Huzaifa Pardawala, Siddhant Sukhani, Agam Shah, Veer Kejriwal, Abhishek Pillai, Rohan Bhasin, Andrew DiBiasio, Tarun Mandapati, Dhruv Adha, Sudheer Chava

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoCoHD: Congress Committee Hearing Dataset.

Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Abnormal Trading Detection in the NFT Market.

Mingxiao Song, Yunsong Liu, Agam Shah, Sudheer Chava

CoRR, 2023

Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks.

Agam Shah, Sudheer Chava

CoRR, 2023

The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching.

Samrat Sahoo, Nitin Paul, Agam Shah, Andrew Hornback, Sudheer Chava

CoRR, 2023

FiNER: Financial Named Entity Recognition Dataset and Weak-Supervision Model.

Agam Shah, Ruchit Vithani, Abhinav Gullapalli, Sudheer Chava

CoRR, 2023

Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis.

Agam Shah, Suvan Paturi, Sudheer Chava

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Benchmarking Machine Learning Models to Predict Corporate Bankruptcy.

Emmanuel Alanis, Sudheer Chava, Agam Shah

CoRR, 2022

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang

CoRR, 2022

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.

Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Principal component analysis based construction and evaluation of cryptocurrency index.

Agam Shah, Yagnesh Chauhan, Bhaskar Chaudhury

Expert Syst. Appl., 2021

2017

Deep Reinforcement Learning for Conversational AI.

Mahipal Jadeja, Neelanshi Varia, Agam Shah

CoRR, 2017