collaborators

6 papers

cs.SE2025

BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation

Mahir Labib Dihan, Sadif Ahmed, Md Nafiu Rahman

Bangla is a low-resource language for code generation, lacking large-scale annotated datasets and tools to transform natural language specifications into executable programs. This…

cs.AI2025

WebOperator: Action-Aware Tree Search for Autonomous Agents in Web Environment

Mahir Labib Dihan, Tanzima Hashem, Mohammed Eunus Ali +1

LLM-based agents often operate in a greedy, step-by-step manner, selecting actions solely based on the current observation without considering long-term consequences or alternative…

cs.AI2025

MapAgent: A Hierarchical Agent for Geospatial Reasoning with Dynamic Map Tool Integration

Md Hasebul Hasan, Mahir Labib Dihan, Tanzima Hashem +2

Agentic AI has significantly extended the capabilities of large language models (LLMs) by enabling complex reasoning and tool use. However, most existing frameworks are tailored to…

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…

cs.CL2024

MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets

Mahir Labib Dihan, Mohammed Eunus Ali, Md Rizwan Parvez

Mapping and navigation services like Google Maps, Apple Maps, OpenStreetMap, are essential for accessing various location-based data, yet they often struggle to handle natural lang…