1 citations · 2 across the 7 of their papers we have counts for
8 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…
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…
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…
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
Large Language Models (LLMs) have made significant strides in code generation and problem solving. Current approaches employ external tool-based iterative debuggers that use compil…
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…
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…
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
Code synthesis, which requires a deep understanding of complex natural language problem descriptions, generation of code instructions for complex algorithms and data structures, an…