Add model card for ELF

README.md

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+---
+license: mit
+pipeline_tag: text-generation
+---
+
+# ELF: Embedded Language Flows
+
+Embedded Language Flows (ELF) is a class of continuous diffusion language models based on continuous-time Flow Matching. Unlike existing diffusion language models (DLMs), ELF predominantly stays within the continuous embedding space until the final time step, where it maps to discrete tokens using a shared-weight network. This formulation makes it straightforward to adapt established techniques from image-domain diffusion models, such as classifier-free guidance (CFG).
+
+- **Paper:** [ELF: Embedded Language Flows](https://huggingface.co/papers/2605.10938)
+- **Repository:** [https://github.com/lillian039/ELF](https://github.com/lillian039/ELF)
+
+## Description
+
+Experiments show that ELF substantially outperforms leading discrete and continuous DLMs, achieving better generation quality with fewer sampling steps. These results suggest that ELF offers a promising path toward effective continuous DLMs.
+
+## Usage
+
+To use these models, please follow the installation instructions in the [official repository](https://github.com/lillian039/ELF). 
+
+### Inference and Evaluation
+
+You can run evaluation for unconditional generation (e.g., using ELF-B) with the following command:
+
+```bash
+cd src/
+
+python eval.py \
+    --config configs/training_configs/train_owt_ELF-B.yml \
+    --checkpoint_path embedded-language-flows/ELF-B-owt
+```
+
+For conditional tasks like translation or summarization, use the corresponding configuration files:
+
+```bash
+# XSum (summarization)
+python eval.py \
+    --config configs/training_configs/train_xsum_ELF-B.yml \
+    --checkpoint_path embedded-language-flows/ELF-B-xsum
+
+# WMT14 De-En (translation)
+python eval.py \
+    --config configs/training_configs/train_de-en_ELF-B.yml \
+    --checkpoint_path embedded-language-flows/ELF-B-de-en
+```
+
+## Citation
+
+```bibtex
+@article{elf2026,
+  title={ELF: Embedded Language Flows},
+  author={Hu, Keya and Qiu, Linlu and Lu, Yiyang and Zhao, Hanhong and Li, Tianhong and Kim, Yoon and Andreas, Jacob and He, Kaiming},
+  journal={arXiv preprint arXiv:2605.10938},
+  year={2026}
+}
+```