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Preprint Oct 2026

STRIDE: Evaluating Spatiotemporal Reasoning in Driving Edge Cases

In autonomous driving, perceiving surrounding objects is not enough: failing to understand how they move and interact over time can lead to dangerous decisions. Evaluating vision-language models (VLMs) therefore requires testing whether they connect past spatial observations to future consequences. Yet existing benchma...

Lie-Qi Liu, Rui Gao, Jia-Chen Gu et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards

Long-horizon agents have drawn growing attention for their ability to work autonomously -- from hours to days -- on economically valuable tasks, a capability essential to automated discovery and recursive self-improvement (RSI). Yet open-source models still struggle on long-horizon tasks, largely for lack of both train...

Wen-Bo Hu, Shraman Pramanick, Krishna Kumar Singh et al. · 0 citations

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