2 papers
cs.AI2026
Towards reliable multimodal disaster severity assessment through preference optimization and explainable vision-language reasoning
Yuanjun Zhang, Fuzel Ahamed Shaik, Suvojit Acharjee +2
Reliable disaster damage assessment requires models that provide both accurate predictions and transparent explanations. However, existing multimodal approaches are limited by scar…
cs.CL2026
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study
Yuanjun Zhang, Mourad Oussalah
Humanitarian reports are long, noisy, and multi-topic, making it difficult to consolidate decision-relevant causal evidence. We present a ReliefWeb study (2000-2024) and a two-stag…