activity
20222024
most citedMultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili

22 citations · 36 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction

Jinzhi Shan, Qi Zhang, Chongyang Shi +3

Automatic Chinese patent approval prediction is an emerging and valuable task in patent analysis. However, it involves a rigorous and transparent decision-making process that inclu…

cs.MM202422 cited

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili

Han Wang, Tan Rui Yang, Usman Naseem +1

Hate speech is a pressing issue in modern society, with significant effects both online and offline. Recent research in hate speech detection has primarily centered on text-based m…

cs.CL20242 cited

Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings

Md. Arid Hasan, Prerona Tarannum, Krishno Dey +2

Large language models (LLMs) have garnered significant interest in natural language processing (NLP), particularly their remarkable performance in various downstream tasks in resou…

cs.CL2024

Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models

Hariram Veeramani, Surendrabikram Thapa, Usman Naseem

In the evolving landscape of Environmental, Social, and Corporate Governance (ESG) impact assessment, the ML-ESG-2 shared task proposes identifying ESG impact types. To address thi…

cs.CL20232 cited

Causal Intervention for Abstractive Related Work Generation

Jiachang Liu, Qi Zhang, Chongyang Shi +3

Abstractive related work generation has attracted increasing attention in generating coherent related work that better helps readers grasp the background in the current research. H…

cs.SI202310 cited

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees

Qi Zhang, Yayi Yang, Chongyang Shi +4

The rapid growth of social media has caused tremendous effects on information propagation, raising extreme challenges in detecting rumors. Existing rumor detection methods typicall…