7 papers
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…
LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
Jacob Ativo, Bharaneeshwar Balasubramaniyam, Anh Tran +4
Semi-supervised learning approaches have been investigated as a means to enhance the analysis of social media data in disaster management contexts. In this work, we present the fir…
MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
Muhammad Imran Sharif, Doina Caragea
Recognition of rodent behavior is important for understanding neural and behavioral mechanisms. Traditional manual scoring is time-consuming and prone to human error. We propose MS…
Practical Insights into Semi-Supervised Object Detection Approaches
Chaoxin Wang, Bharaneeshwar Balasubramaniyam, Anurag Sangem +2
Learning in data-scarce settings has recently gained significant attention in the research community. Semi-supervised object detection(SSOD) aims to improve detection performance b…
The Shifting Landscape of Vaccine Discourse: Insights From a Decade of Pre- to Post-COVID-19 Vaccine Posts on Social Media
Nikesh Gyawali, Doina Caragea, Cornelia Caragea +1
In this work, we study English-language vaccine discourse in social media posts, specifically posts on X (formerly Twitter), in seven years before the COVID-19 outbreak (2013 to 20…
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…