Visual counting benchmarks report whether vision-language models produce the correct number, but not whether errors arise from perception or reasoning. We introduce DecoyCount, a benchmark built from 1,660 real-world images with designed decoys across seven mechanisms, along with paired prompts: a neutral question, a m...
Qiu-Yi Zhang, Zhen Xu, Jing Gu et al.· 0 citations
Large reasoning models (LRMs) have achieved substantial improvements in solving complex mathematical problems, but often produce lengthy, repetitive, or erroneous reasoning trajectories. In this work, we introduce a new interpretability framework, SLIDER, to evaluate the quality of the reasoning process. SLIDER leverag...
Distributional Point-Based Value Iteration (DPBVI), which integrates psi-vectors into a standard point-based backup procedure-bridging DistRL and POMDP planning, lays the foundation for future risk-sensitive control in domains where rare, high-impact events must be carefully managed.
L. Preuett, Qiu-Yi Zhang, Muhammad Ahmad· 0 citations
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