metadata
license: mit
pipeline_tag: text-generation
Self-Conditioned Flow Map Language Models via Fixed-Point Flows
This repository contains checkpoints for ELF, ELF*, and FMLM* introduced in the paper Self-conditioned Flow Map Language Models via Fixed-point Flows.
All models use the ELF-B backbone (12 layers, hidden 768, 12 heads, ~105M parameters).
Released Models
- ELF: Self-conditioned flow teacher.
- ELF*: Self-conditioning-free fixed-point denoiser (CDEQ).
- FMLM*: Few-step flow map (two-time denoiser).
Code and Usage
The official codebase for training, evaluation, and sampling instructions can be found on GitHub: 👉 self-conditioned-fmlm GitHub Repository
Citation
If you find this work useful, please consider citing:
@article{yoo2026selfconditioned,
title={Self-Conditioned Flow Map Language Models via Fixed-Point Flows},
author={Jaehoon Yoo and Wonjung Kim and Floor Eijkelboom and Chanhyuk Lee
and Nicholas M. Boffi and Seunghoon Hong and Jinwoo Kim},
journal={arXiv preprint arXiv:2607.00714},
year={2026},
}