3 papers
cs.CL2025
How Semantically Stable Are LLM Refusals? Measuring Confusion in Local Safety Boundaries
Riad Ahmed Anonto, Md Labid Al Nahiyan, Md Tanvir Hassan
As safety alignment becomes standard in large language models, refusal behavior has become an important part of model reliability. However, models may still reject benign prompts,…
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…
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…