Siddhant Bikram Shah

According to our database, Siddhant Bikram Shah authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large language models (LLM) in computational social science: prospects, current state, and challenges.

Surendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah, Surabhi Adhikari, Hariram Veeramani, Mehwish Nasim, Usman Naseem

Soc. Netw. Anal. Min., December, 2025

Addressing the Challenges of Mental Health Conversations with Large Language Models.

Shuvam Shiwakoti, Siddhant Bikram Shah, Imran Razzak, Surendrabikram Thapa, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection.

Shuvam Shiwakoti, Siddhant Bikram Shah, Wei Wang, Surendrabikram Thapa, Imran Razzak, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation.

Siddhant Bikram Shah, Shuvam Shiwakoti, Touhid Bhuiyan, Mohammad Ali Moni, Surendrabikram Thapa, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict.

Pratham Grover, Vijayrajsinh Gohil, Bhavya Goel, Hariram Veeramani, Siddhant Bikram Shah, Sandesh Rajendra Jain, Surendrabikram Thapa, Imran Razzak, Usman Naseem

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities.

Usman Naseem, Shuvam Shiwakoti, Siddhant Bikram Shah, Surendrabikram Thapa, Qi Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multi-Feature Audio Fusion for Nonverbal Vocalization Classification.

Siddhant Bikram Shah, Kristina T. Johnson

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Can Decoupling Embedded Text from Images Improve Multimodal Learning?

Siddhant Bikram Shah

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.

Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework.

Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem

Proceedings of the IEEE International Conference on Big Data, 2024

THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning.

Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Leveraging Multimodal Information in Speech Data for the Non-Invasive Detection of Alzheimer's Disease.

Siddhant Bikram Shah, Aashish Bhandari, Prashant Giridhar Shambharkar

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict.

Aashish Bhandari, Siddhant Bikram Shah, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Confluence of AI and Blockchain in Tackling the COVID-19 Pandemic.

Aashish Bhandari, Siddhant Bikram Shah, Prashant Giridhar Shambharkar

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022