Author

Zhe-Gong Shangguan

2 papers indexed here

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Preprint Aug 2026

NumerosityVLM: A Cognitively Inspired Benchmark for Interpreting Numerosity Representations in Vision-Language Models

Vision-language models (VLMs) achieve strong performance on high-level multimodal tasks, yet numerosity perception, a cognitive ability that emerges in human infants before language acquisition, remains poorly understood in current models, as existing counting benchmarks entangle numerosity with correlated visual facto...

Yimin Fu, Fang-Jun Li, Xiu-Jin Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning

Progress-Heuristicized Inverse Reinforcement Learning (PHIRL), a data-efficient framework that learns robust reward functions by jointly leveraging demonstrations and feedback, uses progress, a feedback modality that describes cumulative task completion.

Hang Yu, James Staley, Cheng-Xi Tsou et al. · 0 citations