MapTab is a new multimodal benchmark with 328 images and nearly 200k queries that shows current MLLMs have substantial difficulty with multi-criteria route planning when visual and tabular information must be combined.
arXiv preprint arXiv:2507.11625 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
DIAGRAMS introduces a schema-driven annotation tool that proposes reasoning-level evidence regions for Diagram QA pairs and reports 85.39% precision and 75.30% recall against human final selections on six datasets.
citing papers explorer
-
MapTab: Are MLLMs Ready for Multi-Criteria Route Planning in Heterogeneous Graphs?
MapTab is a new multimodal benchmark with 328 images and nearly 200k queries that shows current MLLMs have substantial difficulty with multi-criteria route planning when visual and tabular information must be combined.
-
DIAGRAMS: A Review Framework for Reasoning-Level Attribution in Diagram QA
DIAGRAMS introduces a schema-driven annotation tool that proposes reasoning-level evidence regions for Diagram QA pairs and reports 85.39% precision and 75.30% recall against human final selections on six datasets.