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Front matter |
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Findings and Insights from the 8th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
Ali Hurriyetoglu, Surendrabikram Thapa, Hristo Tanev and Surabhi Adhikari |
pp. 1‑5 |
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Challenges and Applications of Automated Extraction of Socio-political Events at the age of Large Language Models
Surendrabikram Thapa, Surabhi Adhikari, Hristo Tanev and Ali Hurriyetoglu |
pp. 6‑19 |
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Multimodal Hate, Humor, and Stance Event Detection in Marginalized Sociopolitical Movements
Surendrabikram Thapa, Siddhant Bikram Shah, Kritesh Rauniyar, Shuvam Shiwakoti, Surabhi Adhikari, Hariram Veeramani, Kristina T. Johnson, Ali Hurriyetoglu, Hristo Tanev and Usman Naseem |
pp. 20‑31 |
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Natural Language Processing vs Large Language Models: this is the end of the world as we know it, and I feel fine
Bertrand De Longueville |
pp. 32‑37 |
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Machine Translation in the AI Era: Comparing previous methods of machine translation with large language models
William Jock Boyd and Ruslan Mitkov |
pp. 38‑51 |
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Steering Towards Fairness: Mitigating Political Stance Bias in LLMs
Afrozah Nadeem, Mark Dras and Usman Naseem |
pp. 52‑61 |
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wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning
wang kongqiang and Zhang Peng |
pp. 62‑70 |
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Luminaries@CASE 2025: Multimodal Hate Speech, Target, Stance and Humor Detection using ALBERT and Classical Models
Akshay Esackimuthu |
pp. 71‑75 |
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Overfitters@CASE2025: Multimodal Hate Speech Analysis Using BERT and RESNET
Bidhan Chandra Bhattarai, Dipshan Pokhrel, Ishan Maharjan and Rabin Thapa |
pp. 76‑82 |
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Silver@CASE2025: Detection of Hate Speech, Targets, Humor, and Stance in Marginalized Movement
Rohan Mainali, Neha Aryal, Sweta Poudel, Anupraj Acharya and Rabin Thapa |
pp. 83‑90 |
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MLInitiative at CASE 2025: Multimodal Detection of Hate Speech, Humor,and Stance using Transformers
Ashish Acharya, Ankit BK, Bikram K.C., Surabhi Adhikari, Rabin Thapa, Sandesh Shrestha and Tina Lama |
pp. 91‑97 |
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Multimodal Deep Learning for Detection of Hate, Humor, and Stance in Social Discourse on Marginalized Communities
Durgesh Verma and Abhinav Kumar |
pp. 98‑106 |
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Multimodal Kathmandu@CASE 2025: Task-Specific Adaptation of Multimodal Transformers for Hate, Stance, and Humor Detection
Sujal Maharjan, Astha Shrestha, Shuvam Thakur and Rabin Thapa |
pp. 107‑114 |
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MMFusion@CASE 2025: Attention-Based Multimodal Learning for Text-Image Content Analysis
Prerana Rane |
pp. 115‑122 |
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TSR@CASE 2025: Low Dimensional Multimodal Fusion Using Multiplicative Fine Tuning Modules
Sushant Kr. Ray, Rafiq Ali, Abdullah Mohammad, Ebad Shabbir and Samar Wazir |
pp. 123‑132 |
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PhantomTroupe@CASE 2025: Multimodal Hate Speech Detection in Text-Embedded Memes using Instruction-Tuned LLMs
Farhan Amin, Muhammad Abu Horaira, Md. Tanvir Ahammed Shawon, Md. Ayon Mia and Muhammad Ibrahim Khan |
pp. 133‑138 |
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ID4Fusion@CASE 2025: A Multimodal Approach to Hate Speech Detection in Text-Embedded Memes Using ensemble Transformer based approach
Tabassum Basher Rashfi, Md. Tanvir Ahammed Shawon, Md. Ayon Mia and Muhammad Ibrahim Khan |
pp. 139‑145 |
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Team MemeMasters@CASE 2025: Adapting Vision-Language Models for Understanding Hate Speech in Multimodal Content
Shruti Gurung and Shubham Shakya |
pp. 146‑151 |
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CUET NOOB@CASE2025: MultimodalHate Speech Detection in Text-Embedded Memes using Late Fusion with Attention Mechanism
Tomal Paul Joy, Aminul Islam, Saimum Islam, Md. Tanvir Ahammed Shawon, Md. Ayon Mia and Mohammad Ibrahim Khan |
pp. 152‑158 |
Last modified on October 20, 2025, 7:42 a.m.