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20172026
most citedWHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

6 citations · 31 across the 20 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

CoCoHD: Congress Committee Hearing Dataset

Arnav Hiray, Yunsong Liu, Mingxiao Song +2

U.S. congressional hearings significantly influence the national economy and social fabric, impacting individual lives. Despite their importance, there is a lack of comprehensive d…

cs.CL2024★ 1 cited

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

Huzaifa Pardawala, Siddhant Sukhani, Agam Shah +7

Fact-checking is extensively studied in the context of misinformation and disinformation, addressing objective inaccuracies. However, a softer form of misinformation involves respo…

cs.CL2024

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

Sebastian Jaskowski, Sahasra Chava, Agam Shah

The BERTScore metric is commonly used to evaluate automatic text simplification systems. However, current implementations of the metric fail to provide complete visibility into all…

cs.CL2024

ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses

Michael Galarnyk, Rutwik Routu, Vidhyakshaya Kannan +4

The ARR Responsible NLP Research checklist website states that the "checklist is designed to encourage best practices for responsible research, addressing issues of research ethics…

cs.CL2024

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

Agam Shah, Arnav Hiray, Pratvi Shah +6

In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for public…