6 papers
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud +2
Existing defenses against hallucination in retrieval-augmented and multi-agent pipelines remain partial: evidence is trusted despite modality disagreement, debate verifies an aggre…
TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum Materials
Fatema Tuj Johora Faria, Mukaffi Bin Moin, M. F. Mridha +1
Automatically generating textbook-grounded assessment items can reduce science teachers' workload, but existing retrieval-augmented generation (RAG) systems rely on flat retrieval,…
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman +3
Despite recent advances in large language models (LLMs), their ability to generate empathetic mental health counseling responses in low-resource languages remains largely unexplore…
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha
Retrieval-augmented generation grounds large language models in external evidence, but most pipelines still treat retrieved passages as deterministic and mutually consistent contex…
EduGuard: A Safe RAG-Based LLM Tutor for Programming Education
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1
Generative AI (GenAI) is increasingly used by students for programming explanation, debugging, and assignment support. Yet unrestricted large language model (LLM) tutors can halluc…
Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments
Hasin Jawad Ali, Ajwad Abrar, S. M. Hozaifa Hossain +1
In politically sensitive scenarios like wars, social media serves as a platform for polarized discourse and expressions of strong ideological stances. While prior studies have expl…