5 papers
OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation
Kaiyu Li, Zepeng Xin, Zixuan Jiang +4
The paper presents OVEarth-Bench, a new benchmark for open-vocabulary Earth observation that evaluates models on a wide hierarchical set of categories and diverse query types, supp…
CVSBench: A Comprehensive Benchmark for Cross-view Spatial Reasoning and Dreaming
Ruixun Liu, Lingyu Zhang, Lanxuan Xue +3
Humans can effortlessly reason about scenes across different viewpoints, yet it remains unclear whether Vision-Language Models (VLMs) possess similar cross-view spatial abilities.…
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
Jiayu Wang, Weijiang Lv, Bowen Fu +8
As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…
ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks
Ruixun Liu, Bowen Fu, Jiayi Song +7
Ultra-high-resolution (UHR) remote sensing (RS) images offer rich fine-grained information but also present challenges in effective processing. Existing dynamic resolution and toke…
The Singapore Consensus on Global AI Safety Research Priorities
Yoshua Bengio, Tegan Maharaj, Luke Ong +84
Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…