3 papers
cs.CL2025
When Safety Blocks Sense: Measuring Semantic Confusion in LLM Refusals
Riad Ahmed Anonto, Md Labid Al Nahiyan, Md Tanvir Hassan
Safety-aligned language models often refuse prompts that are actually harmless. Current evaluations mostly report global rates such as false rejection or compliance. These scores t…
cs.CL2025
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez +5
Recent advancements in foundation models have improved autonomous tool usage and reasoning, but their capabilities in map-based reasoning remain underexplored. To address this, we…
cs.CV2025
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection
MD Sadik Hossain Shanto, Mahir Labib Dihan, Souvik Ghosh +8
This report presents our approach for the IEEE SP Cup 2025: Deepfake Face Detection in the Wild (DFWild-Cup), focusing on detecting deepfakes across diverse datasets. Our methodolo…