1 citations · 2 across the 7 of their papers we have counts for
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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…