7 papers
SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
Azmine Toushik Wasi, Wahid Faisal, Abdur Rahman +12
Spatial reasoning is a fundamental aspect of human cognition, yet it remains a major challenge for contemporary vision-language models (VLMs). Prior work largely relied on syntheti…
CompassLLM: A Multi-Agent Approach toward Geo-Spatial Reasoning for Popular Path Query
Md. Nazmul Islam Ananto, Shamit Fatin, Mohammed Eunus Ali +1
The popular path query - identifying the most frequented routes between locations from historical trajectory data - has important applications in urban planning, navigation optimiz…
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…
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…
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…
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…