ELF: A Family of Encoder-Free ECG-Language Models
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866913175416340480 |
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| author | Han, William Chen, Tony Duan, Chaojing Song, Xiaoyu Yao, Yihang Yang, Yuzhe Rosenberg, Michael A. Liu, Emerson Zhao, Ding |
| author_facet | Han, William Chen, Tony Duan, Chaojing Song, Xiaoyu Yao, Yihang Yang, Yuzhe Rosenberg, Michael A. Liu, Emerson Zhao, Ding |
| contents | ECG-Language Models (ELMs) extend recent advances in Multimodal Large Language Models (MLLMs) to automated ECG interpretation. However, most existing ELMs inherit Vision-Language Model (VLM) design choices and rely on pretrained ECG encoders, introducing substantial architectural and training complexity. Inspired by encoder-free VLMs, we introduce ELF, a family of three encoder-free ELM architectures that remain competitive with, and often outperform, prior state-of-the-art ELMs across two datasets despite substantially simpler architectures and training pipelines. All code and data is available at github.com/ELM-Research/ECG-Language-Models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18798 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ELF: A Family of Encoder-Free ECG-Language Models Han, William Chen, Tony Duan, Chaojing Song, Xiaoyu Yao, Yihang Yang, Yuzhe Rosenberg, Michael A. Liu, Emerson Zhao, Ding Multimedia Artificial Intelligence ECG-Language Models (ELMs) extend recent advances in Multimodal Large Language Models (MLLMs) to automated ECG interpretation. However, most existing ELMs inherit Vision-Language Model (VLM) design choices and rely on pretrained ECG encoders, introducing substantial architectural and training complexity. Inspired by encoder-free VLMs, we introduce ELF, a family of three encoder-free ELM architectures that remain competitive with, and often outperform, prior state-of-the-art ELMs across two datasets despite substantially simpler architectures and training pipelines. All code and data is available at github.com/ELM-Research/ECG-Language-Models. |
| title | ELF: A Family of Encoder-Free ECG-Language Models |
| topic | Multimedia Artificial Intelligence |
| url | https://arxiv.org/abs/2601.18798 |