2 citations · 5 across the 12 of their papers we have counts for
8 papers · 1 filter
Fin_Agent at FinEval 2026: Task-Aware Methods for Multilingual Financial NLP
Mohotarema Rashid, Tanzina Hossain, Xiaoying Song +1
We present Fin_Agent, our submission to the FinEval 2026 shared task on multilingual fi nancial language understanding. Our sys tems address Greek financial named-entity recognitio…
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL
Xiaoying Song, Anirban Saha Anik, Dibakar Barua +3
Health misinformation spreading online poses a significant threat to public health. Researchers have explored methods for automatically generating counterspeech to health misinform…
A Dynamic Fusion Model for Consistent Crisis Response
Xiaoying Song, Anirban Saha Anik, Eduardo Blanco +2
In response to the urgent need for effective communication with crisis-affected populations, automated responses driven by language models have been proposed to assist in crisis co…
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation
Anirban Saha Anik, Xiaoying Song, Elliott Wang +3
Large language models (LLMs) incorporated with Retrieval-Augmented Generation (RAG) have demonstrated powerful capabilities in generating counterspeech against misinformation. Howe…
A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models
Jinyu Liu, Xiaoying Song, Diana Zhang +3
Providing subject access to information resources is an essential function of any library management system. Large language models (LLMs) have been widely used in classification an…
Echoes of Discord: Forecasting Hater Reactions to Counterspeech
Xiaoying Song, Sharon Lisseth Perez, Xinchen Yu +2
Hate speech (HS) erodes the inclusiveness of online users and propagates negativity and division. Counterspeech has been recognized as a way to mitigate the harmful consequences. W…
Assessing the Human Likeness of AI-Generated Counterspeech
Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco +1
Counterspeech is a targeted response to counteract and challenge abusive or hateful content. It effectively curbs the spread of hatred and fosters constructive online communication…
Outcome-Constrained Large Language Models for Countering Hate Speech
Lingzi Hong, Pengcheng Luo, Eduardo Blanco +1
Automatic counterspeech generation methods have been developed to assist efforts in combating hate speech. Existing research focuses on generating counterspeech with linguistic att…