16 citations · 17 across the 9 of their papers we have counts for
6 papers · 1 filter
B-CARE: Blind Classwise Assessment of Relative Evidence for Stance Error Ranking
Meysam Sabbaghan, Doina Caragea
Stance classifiers make errors that can be costly to identify under limited human-review budgets. Prioritizing potentially incorrect predictions remains challenging, particularly a…
Multi-Agent Reasoning with Adaptive Worker Allocation for Stance Detection
Meysam Sabbaghan, Arman Zareian Jahromi, Doina Caragea
Stance detection requires identifying an author's position toward a target, often from short-form texts where stance is implicit, indirect, or rhetorically framed. Although large l…
Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
Nikesh Gyawali, Doina Caragea, Alex Vasenkov +1
Financial narratives from U.S. Securities and Exchange Commission (SEC) filing reports and quarterly earnings call transcripts (ECTs) are very important for investors, auditors, an…
A MISMATCHED Benchmark for Scientific Natural Language Inference
Firoz Shaik, Mobashir Sadat, Nikita Gautam +2
Scientific Natural Language Inference (NLI) is the task of predicting the semantic relation between a pair of sentences extracted from research articles. Existing datasets for this…
CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification
Henry Peng Zou, Yue Zhou, Cornelia Caragea +1
The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and…
Identification of Fine-Grained Location Mentions in Crisis Tweets
Sarthak Khanal, Maria Traskowsky, Doina Caragea
Identification of fine-grained location mentions in crisis tweets is central in transforming situational awareness information extracted from social media into actionable informati…