Work

$$\text {Log}_\text {b}$$Quant: Quantizing Language Models in Logarithmic Space

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-39385-2_32

Authors: Jeremias Bohn, Tizian Dippold, Mahdi Koubaa, Elias R. Wahl, Georg Groh

Institution: Technical University of Munich

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7167096433

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