Publications

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Conference Papers

Dynamic Fusion of Large Language Models for Crisis Communication

Published in Proceedings of the International ISCRAM Conference, 2025

We propose a dynamic fusion framework using multiple LLMs to generate high-quality, real-time responses in crisis scenarios on social media.

Recommended citation: Hong, L., Song, X., Saha Anik, A., Frías-Martínez, V. (2025). "Dynamic Fusion of Large Language Models for Crisis Communication." Proceedings of the International ISCRAM Conference. DOI: https://doi.org/10.59297/nqysjq45.
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Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation

Published in Conference on Language Models (COLM 2025) – Accepted, 2025

We present a multi-agent LLM framework for generating evidence-based counterspeech grounded in dynamic and static retrieval sources.

Recommended citation: Anirban Saha Anik, Xiaoying Song, Elliott Wang, Bryan Wang, Bengisu Yarimbas, Lingzi Hong. (2025). "Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation." Conference on Language Models (COLM 2025).
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Outcome-Based Education: Evaluating Students’ Perspectives Using Transformer

Published in 27th International Conference on Computer and Information Technology (ICCIT 2024), 2024

We apply transformer-based NLP models to assess student feedback and align sentiment insights with Outcome-Based Education (OBE) principles.

Recommended citation: Shuvra Smaran Das, Anirban Saha Anik, Md. Kishor Morol, Mohammad Sakib Mahmood. (2024). "Outcome-Based Education: Evaluating Students Perspectives Using Transformer." ICCIT 2024.
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