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Mohammed Eunus Ali

3 accepted papers

2026

SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?

ICLR 2026poster

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 synthetic or LLM-generated environments with limited task designs and puzzle-like setups, failing to capture the real-world comp…

Cited by 0SourcecodeScholar
2025

MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models

ICML 2025spotlight

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 introduce MapEval, a benchmark designed to assess foundation models across three distinct tasks—textual, API-based, and…

Cited by 0SourcePDFScholar
2024

MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

ACL 2024long

Code synthesis, which requires a deep understanding of complex natural language (NL) problem descriptions, generation of code instructions for complex algorithms and data structures, and the successful execution of comprehensive unit tests, presents a significant challenge. Thus, while large languag…