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Papers
Language Models Do Not Embed Numbers Continuously (Student Abstract)
AAAI 2026
Understanding Counting Mechanisms in Large Language and Vision-Language Models
CVPR 2026
Language Models Encode the Value of Numbers Linearly
COLING 2025
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
ICML 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NeurIPS 2024
Be Like Water: Adaptive Floating Point for Machine Learning
ICML 2022
Exploring Numeracy in Word Embeddings
ACL 2019
Training DNNs with Hybrid Block Floating Point
NeurIPS 2018