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Agam Shah
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2020 – today
- 2024
- [c3]Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava:
CoCoHD: Congress Committee Hearing Dataset. EMNLP (Findings) 2024: 15529-15542 - [i12]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) - [i11]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) - [i10]Sebastian Jaskowski, Sahasra Chava, Agam Shah:
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore. CoRR abs/2409.17160 (2024) - [i9]Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava:
CoCoHD: Congress Committee Hearing Dataset. CoRR abs/2410.03099 (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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