3 papers
cs.MA2025
Multi-Agent Path Finding via Offline RL and LLM Collaboration
Merve Atasever, Matthew Hong, Mihir Nitin Kulkarni +2
Multi-Agent Path Finding (MAPF) poses a significant and challenging problem critical for applications in robotics and logistics, particularly due to its combinatorial complexity an…
cs.CV2025
Do VLMs Have Bad Eyes? Diagnosing Compositional Failures via Mechanistic Interpretability
Ashwath Vaithinathan Aravindan, Abha Jha, Mihir Kulkarni
Vision-Language Models (VLMs) have shown remarkable performance in integrating visual and textual information for tasks such as image captioning and visual question answering. Howe…
cs.CL2025
MapQA: Open-domain Geospatial Question Answering on Map Data
Zekun Li, Malcolm Grossman, Eric +4
Geospatial question answering (QA) is a fundamental task in navigation and point of interest (POI) searches. While existing geospatial QA datasets exist, they are limited in both s…