Add model card for ELF

README.md

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+---
+license: mit
+pipeline_tag: summarization
+---
+
+# ELF: Embedded Language Flows
+
+ELF (Embedded Language Flows) 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)
+
+## Sample Usage
+
+To evaluate this model on the XSum summarization task using the official JAX implementation, you can use the following command:
+
+```bash
+cd src/
+
+# Run evaluation on XSum
+python eval.py \
+    --config configs/training_configs/train_xsum_ELF-B.yml \
+    --checkpoint_path embedded-language-flows/ELF-B-xsum
+```
+
+The evaluator runs on the task's validation set and reports ROUGE-1/2/L scores.
+
+## Citation
+
+If you find this work useful, please consider citing the paper:
+
+```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}
+}
+```