4 citations · 4 across the 11 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
V-DyKnow: A Dynamic Benchmark for Time-Sensitive Knowledge in Vision Language Models
Seyed Mahed Mousavi, Christian Moiola, Massimo Rizzoli +2
Vision-Language Models (VLMs) are trained on data snapshots of documents, including images and texts. Their training data and evaluation benchmarks are typically static, implicitly…
cs.AI2026
MATEO: A Multimodal Benchmark for Temporal Reasoning and Planning in LVLMs
Gabriel Roccabruna, Olha Khomyn, Giuseppe Riccardi
AI agents need to plan to achieve complex goals that involve orchestrating perception, sub-goal decomposition, and execution. These plans consist of ordered steps structured accord…