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Large Flow Language Models

Paper recorded by Signals 4 on 2026-10-20 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CL · 自然语言处理 · first seen 2026-10-21

Abstract

Continuous flow language models offer a path to parallel generation with tools for control and acceleration unavailable to discrete diffusion, yet effective techniques for building them at the billion-parameter scale remain less established. We present Lafa (Large flow language model), a fast, high-performing flow language model scaled to 8B parameters in a data-efficient manner. Lafa is a blockwi

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#192 most recent of 660 cs.CL papers we have recorded · ↑ newer: Cache Engineering for Agents · ↓ older: Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Plann
Cite this page: Large Flow Language Models: the #192 most recent of 660 cs.CL papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/large-flow-language-models.html
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