1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
NumerosityVLM: A Cognitively Inspired Benchmark for Interpreting Numerosity Representations in Vision-Language Models
Yiming Fu, Fangjun Li, Xiujin Liu +7
Vision-language models (VLMs) achieve strong performance on high-level multimodal tasks, yet numerosity perception, a cognitive ability that emerges in human infants before languag…
cs.RO2026
Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot
Zhegong Shangguan, Alessandro Di Nuovo, Angelo Cangelosi
Robots are increasingly entering human-interactive scenarios that require understanding of quantity. How intelligent systems acquire abstract numerical concepts from sensorimotor e…
cs.LG2025★ 1 cited
Rethinking RoPE: A Mathematical Blueprint for N-dimensional Positional Embedding
Haiping Liu, Lijing Lin, Jingyuan Sun +3
Rotary Position Embedding (RoPE) is widely adopted in large language models (LLMs) due to its efficient encoding of relative positions with strong extrapolation capabilities. Howev…