Papers by Utkarsh Mishra
Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge (2026.eacl-long)
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| Challenge: | Existing evaluation benchmarks for multimodal large language models (MLLMs) are language-centric or heavily reliant on simulated environments, rarely probing the nuanced, knowledge-intensive reasoning essential for practical, real-world scenarios. |
| Approach: | They propose a task of Sparsely Grounded Visual Navigation to evaluate MLLM-driven agents in city navigation in four diverse global cities. |
| Outcome: | The proposed benchmark encompassing four diverse global cities evaluates agents' decision-making abilities in city navigation. |