Deep Reinforcement Learning for Conversational AI. - Mahipal Jadeja; Neelanshi Varia; Agam Shah (CoRR, 2017)

Principal component analysis based construction and evaluation of cryptocurrency index. - Agam Shah; Yagnesh Chauhan; Bhaskar Chaudhury (Expert Syst. Appl., 2021)

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 (EMNLP, 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)

Benchmarking Machine Learning Models to Predict Corporate Bankruptcy. - Emmanuel Alanis; Sudheer Chava; Agam Shah (CoRR, 2022)

Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis. - Agam Shah; Suvan Paturi; Sudheer Chava (ACL (1), 2023)

FiNER: Financial Named Entity Recognition Dataset and Weak-Supervision Model. - Agam Shah; Ruchit Vithani; Abhinav Gullapalli; 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)

Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks. - Agam Shah; Sudheer Chava (CoRR, 2023)

Abnormal Trading Detection in the NFT Market. - Mingxiao Song; Yunsong Liu; Agam Shah; Sudheer Chava (CoRR, 2023)

CoCoHD: Congress Committee Hearing Dataset. - Arnav Hiray; Yunsong Liu; Mingxiao Song; Agam Shah; Sudheer Chava (EMNLP (Findings), 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 (NeurIPS, 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)

ACL Ready: RAG Based Assistant for the ACL Checklist. - Michael Galarnyk; Rutwik Routu; Kosha Bheda; Priyanshu Mehta; Agam Shah; Sudheer Chava (CoRR, 2024)

BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore. - Sebastian Jaskowski; Sahasra Chava; Agam Shah (CoRR, 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., 2024)

How Inclusively do LMs Perceive Social and Moral Norms? - Michael Galarnyk; Agam Shah; Dipanwita Guhathakurta; Poojitha Nandigam; Sudheer Chava (NAACL (Findings), 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, 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, 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, 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, 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; et al. (CoRR, 2025)

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement. - Liqin Ye; Agam Shah; Chao Zhang; Sudheer Chava (CoRR, 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, 2025)